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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. 0-RES-JB
    11. 1493
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    Explanations

    references to bicycles

    oai_token-act-pair · gpt-3.5-turbo

    references to icy conditions and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shepard
    -0.74
     scanner
    -0.73
     Lans
    -0.67
     degraded
    -0.66
     scanners
    -0.66
    auga
    -0.64
     fixtures
    -0.64
     Mate
    -0.64
     Ballard
    -0.63
     solder
    -0.63
    POSITIVE LOGITS
    icy
    4.13
    icycle
    1.91
     Clim
    1.38
    wy
    1.15
    ocy
    1.01
    isexual
    0.95
    Tri
    0.94
    Cy
    0.92
     bicy
    0.90
    cycl
    0.87
    Activations Density 0.033%

    No Known Activations