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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. 4-RES-JB
    11. 16341
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    INDEX
    Explanations

    proper names such as "Kab" and "Schw" within text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific characters or entities within a narrative

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

    No Comments

    Negative Logits
    ror
    -0.83
    SEA
    -0.80
    igion
    -0.74
    ttle
    -0.74
    rences
    -0.74
    hetic
    -0.72
    */(
    -0.72
    onson
    -0.72
    hetics
    -0.70
    ronic
    -0.69
    POSITIVE LOGITS
    yz
    0.74
     Starr
    0.74
     grain
    0.72
     XVI
    0.72
    atha
    0.71
     Jagu
    0.68
    eker
    0.67
     Antar
    0.65
     Railway
    0.65
     Methodist
    0.64
    Activations Density 0.030%

    No Known Activations