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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. 6-RES-JB
    11. 5517
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    Explanations

    numbers representing statistics or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    querque
    -0.83
    iband
    -0.78
    oulos
    -0.68
    hran
    -0.68
     clicked
    -0.66
    essen
    -0.66
    ugal
    -0.65
     reluct
    -0.65
    antha
    -0.65
    estival
    -0.64
    POSITIVE LOGITS
     ILCS
    1.12
     MHz
    0.91
    MHz
    0.86
    bps
    0.84
    naire
    0.80
    576
    0.72
    士
    0.70
    989
    0.69
    mAh
    0.68
    806
    0.68
    Activations Density 0.066%

    No Known Activations