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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. 17470
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    INDEX
    Explanations

    statements emphasizing a lack of quantity or significance

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "not much" along with expressions of insignificance or minimal impact

    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
    ĪĴ
    -0.88
    İĭ
    -0.87
    yne
    -0.80
    kus
    -0.75
    idon
    -0.74
    izoph
    -0.73
    illet
    -0.73
    eton
    -0.71
    otom
    -0.70
    initely
    -0.70
    POSITIVE LOGITS
     else
    1.13
     anymore
    1.05
     consolation
    0.91
     besides
    0.87
     whatsoever
    0.79
     avail
    0.79
     ado
    0.78
     bothering
    0.75
     except
    0.75
     fuss
    0.74
    Activations Density 0.032%

    No Known Activations