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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. 11651
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    Explanations

    information related to fragmentation or parts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to components or parts

    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
    IAS
    -0.73
     Trop
    -0.72
    NOR
    -0.69
     Predators
    -0.69
    WAY
    -0.68
     Monitor
    -0.67
    ILLE
    -0.67
    Fight
    -0.65
    PDATE
    -0.64
     Physicians
    -0.63
    POSITIVE LOGITS
    meal
    1.08
    omething
    0.97
     scattered
    0.94
     pieces
    0.91
     thereof
    0.91
    mith
    0.90
     Pieces
    0.87
    hots
    0.85
    lap
    0.82
     litter
    0.82
    Activations Density 0.056%

    No Known Activations