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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. 0-RES-JB
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    Explanations

    mentions of art exhibitions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "exhibition" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REE
    -0.73
     $$
    -0.71
    psc
    -0.70
    POL
    -0.68
    leep
    -0.65
    checks
    -0.64
    votes
    -0.63
     Param
    -0.63
    strap
    -0.62
    param
    -0.61
    POSITIVE LOGITS
     exhibition
    3.81
     exhibitions
    2.91
     Exhibition
    2.77
     exhibit
    1.82
     exhib
    1.80
     exhibits
    1.47
    hibition
    1.36
     museum
    1.34
     curator
    1.32
     gallery
    1.31
    Activations Density 0.013%

    No Known Activations