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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. 11-RES-JB
    11. 9472
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    Explanations

    phrases and clauses that are likely to indicate a continuation or elaboration in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific symbol or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     Palest
    -0.70
     Sabha
    -0.64
     Tid
    -0.64
     RAD
    -0.60
     Chou
    -0.60
     Sandy
    -0.59
     airs
    -0.59
     wide
    -0.59
     Osw
    -0.59
     Manhattan
    -0.58
    POSITIVE LOGITS
    ¤
    1.21
    ª
    1.14
    Ń
    1.11
    ¡
    1.11
    «
    1.08
    ľ
    1.07
    £
    1.07
    Ļ
    1.06
    ĺ
    1.05
    ¼
    1.03
    Activations Density 0.343%

    No Known Activations