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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. 7-RES-JB
    6. 15107
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    Explanations

    text related to specific dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to differing responses and social dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    [/
    -0.65
    TAG
    -0.63
    ),"
    -0.62
    CLAIM
    -0.62
    ####
    -0.62
     civilisation
    -0.60
    istor
    -0.59
    bats
    -0.58
    =-=-=-=-=-=-=-=-
    -0.58
    ãĢij
    -0.57
    POSITIVE LOGITS
    ategory
    0.85
    animous
    0.73
     likewise
    0.68
     reversed
    0.67
     destro
    0.67
     again
    0.65
     condem
    0.65
     aft
    0.65
     corresponding
    0.65
     srf
    0.64
    Activations Density 0.865%

    No Known Activations