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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
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    Explanations

    references to the word "Grab"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Grab" in various contexts

    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
     constitu
    -0.72
     certific
    -0.71
    REDACTED
    -0.69
    quickShipAvailable
    -0.69
     HELL
    -0.68
    OTAL
    -0.67
     Contrast
    -0.66
    tnc
    -0.63
     nomine
    -0.62
     extingu
    -0.62
    POSITIVE LOGITS
    bing
    1.37
    bers
    1.23
    bed
    1.11
    ber
    0.99
    owski
    0.91
    rities
    0.86
    bable
    0.84
    aneers
    0.83
    ression
    0.81
    atted
    0.81
    Activations Density 0.009%

    No Known Activations