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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. 12-RES-JB
    11. 3923
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    non-standard or corrupted text characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Riley
    -0.82
     lapse
    -0.68
     Kansas
    -0.68
     panels
    -0.66
     grace
    -0.65
     bats
    -0.64
     staggered
    -0.64
     wrapped
    -0.63
     transition
    -0.62
     reinstated
    -0.62
    POSITIVE LOGITS
    оÐ
    2.06
    а
    1.99
    Ñĥ
    1.98
    о
    1.93
    Ñĭ
    1.92
    е
    1.91
    л
    1.90
    и
    1.89
    ÑĢ
    1.87
    д
    1.70
    Activations Density 0.041%

    No Known Activations