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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. 2-RES-JB
    11. 13427
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    INDEX
    Explanations

    ingredients or food items

    oai_token-act-pair · gpt-3.5-turbo

    references to the action of selecting or gathering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.76
    issance
    -0.74
    itement
    -0.70
    moral
    -0.69
    peria
    -0.68
    enture
    -0.68
    ocene
    -0.68
    senal
    -0.67
    Sea
    -0.66
     interf
    -0.64
    POSITIVE LOGITS
    axe
    1.13
    pocket
    1.10
    pick
    1.04
    picking
    0.99
     pick
    0.99
    Pick
    0.94
    eting
    0.93
     Pick
    0.84
     picks
    0.84
     Picks
    0.83
    Activations Density 0.016%

    No Known Activations