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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. 4151
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    Explanations

    names of individuals involved in the text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
    jee
    -0.79
    Union
    -0.73
    ainers
    -0.68
    union
    -0.67
    atform
    -0.67
    parts
    -0.67
    eful
    -0.66
     istg
    -0.65
    =]
    -0.65
    Muslims
    -0.64
    POSITIVE LOGITS
    lik
    0.83
    keye
    0.81
    enstein
    0.80
    lar
    0.80
    yrinth
    0.78
    yip
    0.74
    iamond
    0.74
    raft
    0.73
     disse
    0.73
    rys
    0.72
    Activations Density 0.026%

    No Known Activations