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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. 6-RES-JB
    11. 24371
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    Explanations

    names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly notable players in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ames
    -0.81
    creen
    -0.72
     obser
    -0.72
     Asylum
    -0.71
    prises
    -0.70
    psons
    -0.70
    elled
    -0.69
     livest
    -0.67
    aline
    -0.67
    eled
    -0.67
    POSITIVE LOGITS
    naire
    0.79
    naires
    0.72
    awei
    0.71
    inary
    0.71
    avorite
    0.70
    anguage
    0.68
     Qiao
    0.68
    Æ
    0.67
    INE
    0.67
    enance
    0.65
    Activations Density 0.081%

    No Known Activations