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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. 3-RES-JB
    11. 22894
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    INDEX
    Explanations

    phrases related to responsibility or leadership

    oai_token-act-pair · gpt-3.5-turbo

    mentions of stewardship and specific teams or entities associated with sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jet
    -0.69
    DIV
    -0.66
    Export
    -0.65
    adesh
    -0.65
    jad
    -0.64
    MAC
    -0.64
    ofi
    -0.62
     casualty
    -0.60
    GHz
    -0.60
    urst
    -0.59
    POSITIVE LOGITS
     stewards
    1.23
    hip
    1.10
    atche
    0.92
    ributes
    0.85
     Timbers
    0.84
    itage
    0.81
    itudinal
    0.81
    igil
    0.79
    folios
    0.78
    agall
    0.77
    Activations Density 0.014%

    No Known Activations