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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. 9-RES-JB
    11. 14715
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    Explanations

    specific words related to physical encounters or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    language related to confrontations or encounters between individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.78
    duc
    -0.70
    Balt
    -0.67
    za
    -0.67
    umb
    -0.66
    leaf
    -0.65
    hood
    -0.63
    wheel
    -0.63
    aku
    -0.62
    rib
    -0.61
    POSITIVE LOGITS
     between
    1.12
     with
    0.88
     WITH
    0.87
    halla
    0.85
     BET
    0.85
     Between
    0.84
    between
    0.82
    iques
    0.80
     involving
    0.76
     roy
    0.75
    Activations Density 0.104%

    No Known Activations