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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. 9285
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of individuals associated with the context

    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
    face
    -0.80
    cond
    -0.78
    esome
    -0.76
    holders
    -0.75
    gat
    -0.73
    draw
    -0.73
     Ard
    -0.71
     Debor
    -0.70
    pie
    -0.68
    fw
    -0.67
    POSITIVE LOGITS
    ibel
    0.81
     guiActiveUn
    0.78
    STATE
    0.78
    othal
    0.77
    otiation
    0.76
    ovich
    0.75
    oult
    0.74
    oice
    0.72
    igrate
    0.72
    ovie
    0.72
    Activations Density 0.013%

    No Known Activations