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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. 11-RES-JB
    11. 23145
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    Explanations

    phrases describing quick actions or transformations

    oai_token-act-pair · gpt-3.5-turbo

    prepositional phrases indicating time or duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eri
    -0.67
    grave
    -0.63
    ARE
    -0.62
    ãģĨ
    -0.61
    Constructed
    -0.60
    isphere
    -0.58
    tain
    -0.57
    WHERE
    -0.57
    chest
    -0.57
    Interstitial
    -0.57
    POSITIVE LOGITS
     seconds
    1.14
     mere
    1.13
     less
    1.09
     minutes
    1.01
     just
    0.97
     milliseconds
    0.97
     spite
    0.93
     Seconds
    0.93
     fifteen
    0.90
     one
    0.90
    Activations Density 0.252%

    No Known Activations