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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
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    Explanations

    the word "whistle"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly those related to individuals and their connections

    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
    nesota
    -0.84
    entary
    -0.82
    ccording
    -0.67
     guiActiveUnfocused
    -0.67
     contiguous
    -0.65
    Interstitial
    -0.65
    stable
    -0.61
    err
    -0.60
    erate
    -0.60
    ember
    -0.60
    POSITIVE LOGITS
    istle
    1.04
    toe
    1.00
    ãĤ©
    0.83
    cone
    0.81
    weed
    0.81
     Lilly
    0.78
    bilt
    0.77
    gate
    0.76
    ring
    0.75
    heet
    0.74
    Activations Density 0.005%

    No Known Activations