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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. 4-RES-JB
    11. 15689
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    Explanations

    phrases related to baseball, specifically the "bat" object

    oai_token-act-pair · gpt-3.5-turbo

    the word "bat" and its variations, highlighting its frequent mentions in the text

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

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.81
    xia
    -0.78
    FINE
    -0.74
    zanne
    -0.68
    phis
    -0.66
    naire
    -0.65
    ISTORY
    -0.64
    Ô
    -0.63
    mber
    -0.63
    cember
    -0.62
    POSITIVE LOGITS
    tered
    0.83
     bat
    0.79
    bat
    0.78
    ista
    0.77
    cher
    0.76
    manship
    0.74
    oche
    0.73
    computer
    0.73
     bats
    0.71
    hit
    0.70
    Activations Density 0.009%

    No Known Activations