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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 22067
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    Explanations

    dates and numbers in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and numeric values within a context

    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
    Cola
    -0.80
    È
    -0.73
    ophen
    -0.70
    ucci
    -0.67
     compan
    -0.66
    iar
    -0.65
    natureconservancy
    -0.65
    Increases
    -0.64
    ulhu
    -0.64
     fung
    -0.63
    POSITIVE LOGITS
    dal
    0.68
     Sabha
    0.68
    xual
    0.66
    monton
    0.66
    schild
    0.65
    ogle
    0.64
    amus
    0.63
    ceptor
    0.62
    3333
    0.61
    actic
    0.61
    Activations Density 0.240%

    No Known Activations