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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. 9-RES-JB
    11. 23009
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     someday
    -0.74
    iasis
    -0.71
     populate
    -0.69
     humming
    -0.67
     aging
    -0.65
    toggle
    -0.64
     tattoos
    -0.63
    ertility
    -0.63
     frequ
    -0.61
     vanish
    -0.61
    POSITIVE LOGITS
    iscal
    0.91
     sincere
    0.88
     assurances
    0.85
     sufficient
    0.84
     courageous
    0.82
     prudent
    0.81
     principled
    0.79
    ufficient
    0.79
     adequately
    0.79
     adequate
    0.78
    Activations Density 0.623%

    No Known Activations