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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. 11-RES-JB
    11. 17508
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    INDEX
    Explanations

    characteristics related to size, weight, and physical properties of objects

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of size and weight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sis
    -0.82
    appiness
    -0.71
    tyard
    -0.67
    plet
    -0.67
    anton
    -0.66
    hower
    -0.65
    orns
    -0.65
    ses
    -0.63
    incerity
    -0.63
    gemony
    -0.62
    POSITIVE LOGITS
     enough
    1.49
    enough
    1.09
     compared
    1.03
     nonetheless
    0.92
     yet
    0.89
     Enough
    0.88
     and
    0.88
     unlike
    0.87
     considering
    0.83
     nevertheless
    0.83
    Activations Density 0.282%

    No Known Activations