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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. 15847
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    INDEX
    Explanations

    mentions of pads or padding, particularly in physical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of pads or padding materials

    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
    ymes
    -0.73
    emort
    -0.71
    BuyableInstoreAndOnline
    -0.70
    naires
    -0.69
     Heller
    -0.68
    ews
    -0.68
    infeld
    -0.66
     Galile
    -0.65
     Ans
    -0.64
    vous
    -0.63
    POSITIVE LOGITS
     pad
    1.11
    awan
    1.09
    pad
    1.05
     pads
    0.96
    rice
    0.92
    lock
    0.90
    bed
    0.84
    pered
    0.84
    locked
    0.83
    ming
    0.82
    Activations Density 0.006%

    No Known Activations