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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20409
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    INDEX
    Explanations

    phrases indicating participation or involvement

    oai_token-act-pair · gpt-3.5-turbo

    references to being "on board" or included in a group or initiative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bered
    -0.85
    byter
    -0.66
    PLE
    -0.65
    olver
    -0.65
    ously
    -0.64
    ascus
    -0.63
    usalem
    -0.63
    çīĪ
    -0.63
    sg
    -0.61
     Dum
    -0.61
    POSITIVE LOGITS
    walk
    1.27
    wal
    0.95
    deck
    0.94
    meal
    0.87
    mast
    0.81
    boats
    0.81
    boat
    0.79
    mates
    0.78
    board
    0.78
    chairs
    0.74
    Activations Density 0.013%

    No Known Activations