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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. 10-RES-JB
    11. 5263
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    Explanations

    phrases emphasizing importance or essentiality

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the word "essentially" or "basically" as qualifiers in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.79
    Others
    -0.77
    Recently
    -0.76
    particularly
    -0.75
    alez
    -0.75
    Ey
    -0.74
    Tickets
    -0.70
     enthus
    -0.68
    AMY
    -0.68
    Ö¼
    -0.67
    POSITIVE LOGITS
     worthless
    0.91
     boils
    0.90
     meaningless
    0.84
     unchanged
    0.84
     unlimited
    0.83
     indistinguishable
    0.83
     useless
    0.80
     interchangeable
    0.79
     identical
    0.79
     limitless
    0.79
    Activations Density 0.051%

    No Known Activations