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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. 11-RES-JB
    11. 9304
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    Explanations

    objects or items associated with everyday life

    oai_token-act-pair · gpt-3.5-turbo

    specific objects and items commonly associated with events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.80
    ÃĽ
    -0.77
    Phase
    -0.77
    esson
    -0.73
     GOODMAN
    -0.72
    é¾įå
    -0.72
    DEM
    -0.72
    odes
    -0.71
    rael
    -0.71
    ĺ
    -0.69
    POSITIVE LOGITS
     salesman
    1.27
     holder
    1.18
     holders
    1.02
     dangling
    0.97
     wearer
    0.96
     shaped
    0.94
     maker
    0.94
     bearer
    0.90
     giveaway
    0.89
     salute
    0.87
    Activations Density 0.296%

    No Known Activations