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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. 9218
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    Explanations

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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 @ 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
    soType
    -0.76
     injunction
    -0.72
    cers
    -0.67
     Emirates
    -0.64
     Hitman
    -0.64
    Phones
    -0.63
    SW
    -0.61
     Bour
    -0.61
     Dice
    -0.59
    ozo
    -0.58
    POSITIVE LOGITS
    fully
    0.95
    ful
    0.92
    shire
    0.91
    icit
    0.88
    fulness
    0.87
    irtual
    0.82
    ibility
    0.78
    lessly
    0.78
    luster
    0.77
    azard
    0.75
    Activations Density 0.013%

    No Known Activations