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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. 22031
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    Explanations

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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 @ 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
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    No Comments

    Negative Logits
    éĹ
    -0.67
     grounds
    -0.66
    */(
    -0.66
     corners
    -0.66
    pher
    -0.63
     openness
    -0.60
    perature
    -0.60
     resonance
    -0.59
     redacted
    -0.59
     lit
    -0.59
    POSITIVE LOGITS
     Yourself
    1.01
     Your
    1.01
    hiro
    0.82
    Your
    0.81
     Give
    0.80
    Leave
    0.78
     Help
    0.77
     Them
    0.76
     Cancel
    0.76
    verning
    0.76
    Activations Density 0.062%

    No Known Activations