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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. 1-RES-JB
    11. 11209
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    Explanations

    words related to steps or progress

    oai_token-act-pair · gpt-3.5-turbo

    references to significant actions or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kin
    -0.75
     Resurrection
    -0.73
     Revival
    -0.71
    ãĥ¼ãĥĨ
    -0.67
     gau
    -0.65
     Rei
    -0.65
     heater
    -0.62
     salv
    -0.62
    ÙIJ
    -0.61
     Clicker
    -0.60
    POSITIVE LOGITS
    orter
    0.91
    claw
    0.84
    culosis
    0.79
    gian
    0.78
    nce
    0.74
    heric
    0.74
    td
    0.74
    bol
    0.74
    ERG
    0.73
    IRE
    0.73
    Activations Density 0.000%

    No Known Activations