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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. 6-RES-JB
    11. 13566
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QB
    -0.72
    GO
    -0.70
    jun
    -0.70
    !/
    -0.65
     Traff
    -0.65
     Parenthood
    -0.64
    MET
    -0.64
    TW
    -0.60
    rera
    -0.59
    女
    -0.58
    POSITIVE LOGITS
    issance
    1.33
     refreshed
    0.94
     Refresh
    0.92
     refresh
    0.87
    ments
    0.87
    cation
    0.84
    ements
    0.81
    ezvous
    0.81
    ment
    0.78
     intervals
    0.76
    Activations Density 0.024%

    No Known Activations