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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20588
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    Explanations

    ideas related to political and societal issues, particularly ones involving dissatisfaction, distrust, support, and challenges

    oai_token-act-pair · gpt-3.5-turbo

    sentiments related to social and political issues, particularly distrust, dissatisfaction, and challenges within communities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ital
    -0.63
    elta
    -0.59
    JUST
    -0.59
    ibrary
    -0.58
    gression
    -0.58
    Nation
    -0.58
    oiler
    -0.55
    ver
    -0.53
    Feature
    -0.53
     Vie
    -0.53
    POSITIVE LOGITS
     thereof
    0.96
     of
    0.88
     associated
    0.71
     accompanying
    0.71
     attendant
    0.66
     toward
    0.65
     towards
    0.63
    externalActionCode
    0.63
     therein
    0.62
    amsung
    0.62
    Activations Density 0.479%

    No Known Activations