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    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. 5659
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    Explanations

    medical terms related to traumatic conditions and financial terms related to economic indicators

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and their associations with economic metrics

    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
    natureconservancy
    -0.78
    ynt
    -0.77
    pedia
    -0.73
     Warn
    -0.70
    town
    -0.69
    quit
    -0.66
    nen
    -0.66
    uay
    -0.66
    hunt
    -0.65
    Lago
    -0.65
    POSITIVE LOGITS
     metic
    0.72
     disorder
    0.70
     comprom
    0.69
     syndrome
    0.62
     equivalents
    0.62
    itaire
    0.59
     agre
    0.59
     imagining
    0.58
    س
    0.58
     condensed
    0.58
    Activations Density 0.233%

    No Known Activations