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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. 2-RES-JB
    11. 14410
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    Explanations

    phrases related to gradual progression or development

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating consistent and ongoing actions or progress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocard
    -0.68
    ster
    -0.68
    olog
    -0.67
    rule
    -0.64
    ofi
    -0.63
    onom
    -0.63
    angers
    -0.63
     sarc
    -0.63
    oner
    -0.62
     metaphors
    -0.62
    POSITIVE LOGITS
    uously
    0.78
    enza
    0.74
     iter
    0.73
     steadily
    0.72
     uninterrupted
    0.71
     unchanged
    0.70
     maintained
    0.70
    ãĤ£
    0.68
     destro
    0.68
     continuously
    0.66
    Activations Density 0.014%

    No Known Activations