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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. 16247
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    Explanations

    statements involving interaction between multiple individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in specific events or incidents

    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
     Esports
    -0.66
    bane
    -0.64
     satell
    -0.61
    ETF
    -0.61
     extraord
    -0.58
     calcul
    -0.58
    Indust
    -0.57
     Canter
    -0.57
     metic
    -0.56
    soDeliveryDate
    -0.56
    POSITIVE LOGITS
     them
    1.18
     ones
    1.14
    them
    1.09
     these
    0.98
    these
    0.97
    These
    0.96
     These
    0.89
    each
    0.88
     THEM
    0.87
     Them
    0.87
    Activations Density 1.050%

    No Known Activations