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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. 1-RES-JB
    11. 13286
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    Explanations

    variations or differences in quantities or characteristics between different entities or contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations in measurements or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rollers
    -0.75
    ³³³³³³³³³³³³³³³³
    -0.73
    OF
    -0.71
    zyk
    -0.71
    Gold
    -0.69
    ablishment
    -0.67
    stra
    -0.66
    ged
    -0.66
    FU
    -0.66
    ×Ļ
    -0.64
    POSITIVE LOGITS
     vary
    1.00
     varies
    0.92
    icult
    0.90
     variations
    0.86
    ratulations
    0.85
     disapp
    0.84
     municip
    0.83
    entimes
    0.82
     occas
    0.82
    wcs
    0.81
    Activations Density 0.012%

    No Known Activations