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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. 1-RES-JB
    11. 21476
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    Explanations

    references to written or electronic messages, commonly known as 'posts'

    oai_token-act-pair · gpt-3.5-turbo

    references to posts or articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estial
    -0.96
     Orchestra
    -0.84
     Qiao
    -0.78
     Dise
    -0.73
     Harm
    -0.73
     Flavoring
    -0.72
     Ernst
    -0.71
     Brill
    -0.69
    inho
    -0.68
    owship
    -0.68
    POSITIVE LOGITS
    gres
    1.24
    mortem
    1.12
    doctoral
    1.05
    ulate
    0.94
    docs
    0.93
    natal
    0.92
    greSQL
    0.91
    ulating
    0.90
    ulates
    0.90
    traumatic
    0.88
    Activations Density 0.029%

    No Known Activations