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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. 723
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    Explanations

    descriptions of people and their actions or roles

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the roles and actions of individuals in various contexts

    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
    .",
    -0.70
    ifferent
    -0.67
    nikov
    -0.65
    ifference
    -0.64
    .–
    -0.64
     unbeliev
    -0.63
    rary
    -0.62
    urers
    -0.62
    relative
    -0.61
    chwitz
    -0.60
    POSITIVE LOGITS
     presided
    0.73
     Debor
    0.69
     ?)
    0.68
     retiring
    0.68
    ?)
    0.67
    pires
    0.65
     Seas
    0.64
     jailed
    0.64
     sits
    0.63
     overseeing
    0.63
    Activations Density 0.326%

    No Known Activations