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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. 5597
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    Explanations

    specific words related to objects or actions that are present in multiple instances

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of topics related to various roles and entities in society

    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
    iths
    -0.64
    stals
    -0.63
    ryu
    -0.63
    bows
    -0.62
    aughs
    -0.61
     Relations
    -0.61
     Horses
    -0.59
    comings
    -0.58
     Clouds
    -0.57
    rosso
    -0.56
    POSITIVE LOGITS
     imaginable
    1.67
     conceivable
    1.12
     except
    1.04
     individually
    0.91
    except
    0.79
     ounce
    0.77
     thereafter
    0.74
    winner
    0.74
    soever
    0.73
     irrespective
    0.70
    Activations Density 0.218%

    No Known Activations