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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. 7-RES-JB
    11. 19414
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    INDEX
    Explanations

    differences and variances within a population or group

    oai_token-act-pair · gpt-3.5-turbo

    references to genetic and individual differences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATA
    -0.78
    rollers
    -0.77
    ãĥİ
    -0.74
    ת
    -0.71
    ãĤ®
    -0.68
    Times
    -0.67
    der
    -0.65
    ×Ķ
    -0.65
    äºĶ
    -0.65
    ctors
    -0.64
    POSITIVE LOGITS
     between
    1.08
    between
    1.01
    iveness
    0.97
     Between
    0.90
    iating
    0.89
    ials
    0.85
    ially
    0.85
     sexes
    0.84
    yip
    0.81
    erences
    0.81
    Activations Density 0.049%

    No Known Activations