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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. 3632
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    Explanations

    descriptions of buildings or structures by their number of stories

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "story" associated with various building heights

    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
    ensable
    -0.85
    htaking
    -0.81
    istered
    -0.76
    ibaba
    -0.76
    argon
    -0.75
    ugal
    -0.73
    opard
    -0.72
    omin
    -0.72
    ocol
    -0.72
    ateurs
    -0.71
    POSITIVE LOGITS
    telling
    0.92
    story
    0.91
    boards
    0.90
    Fair
    0.85
    LIN
    0.81
    line
    0.79
    views
    0.77
    board
    0.77
    tell
    0.74
    view
    0.73
    Activations Density 0.018%

    No Known Activations