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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. 17656
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    INDEX
    Explanations

    quotations in text

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically quotation marks

    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
    ²¾
    -0.89
    İĭ
    -0.87
    ©¶æ
    -0.74
    ·
    -0.73
    §
    -0.71
    Ĭ
    -0.70
    forth
    -0.66
    agin
    -0.64
    ¬¼
    -0.64
     unequ
    -0.64
    POSITIVE LOGITS
     reads
    1.00
     according
    0.82
     says
    0.77
     recalls
    0.72
     referring
    0.71
    according
    0.71
     said
    0.70
     she
    0.69
    said
    0.69
     writes
    0.68
    Activations Density 0.093%

    No Known Activations