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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. 3-RES-JB
    11. 8068
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    Explanations

    references to a subsequent set of items or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "following."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aus
    -0.73
    UGC
    -0.71
    govtrack
    -0.70
    obyl
    -0.70
    senal
    -0.70
    éŃĶ
    -0.69
    elsius
    -0.68
    士
    -0.68
    姫
    -0.68
    cci
    -0.68
    POSITIVE LOGITS
     follows
    0.75
     sections
    0.74
     week
    0.73
     weeks
    0.73
     quo
    0.71
     excerpt
    0.70
     follow
    0.69
     section
    0.68
     installment
    0.66
     line
    0.66
    Activations Density 0.020%

    No Known Activations