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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. 9787
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    INDEX
    Explanations

    prices with a specific value

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values or percentages related to prices or discounts

    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
    querque
    -0.81
    warts
    -0.76
    yout
    -0.74
    eding
    -0.71
    ourge
    -0.71
     Gutenberg
    -0.69
    quit
    -0.66
    achus
    -0.64
    ors
    -0.63
    threat
    -0.62
    POSITIVE LOGITS
     ILCS
    1.18
    wagen
    1.01
    marked
    0.92
    401
    0.79
    marks
    0.78
    ा
    0.76
    姫
    0.75
    MJ
    0.74
    315
    0.74
    625
    0.73
    Activations Density 0.096%

    No Known Activations