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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. 23572
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    Explanations

    phrases related to commanding or instructing actions

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to obligation, possession, and actions involving others

    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
    EngineDebug
    -0.78
    wcsstore
    -0.73
    unal
    -0.67
     Flavoring
    -0.63
     predec
    -0.59
     conclud
    -0.59
    /
    -0.59
    bard
    -0.58
    ItemTracker
    -0.57
     subscrib
    -0.57
    POSITIVE LOGITS
     them
    1.39
     him
    1.30
     THEM
    1.21
     us
    1.08
     everyone
    1.00
     someone
    0.97
    him
    0.96
     me
    0.92
     everybody
    0.91
    them
    0.89
    Activations Density 0.664%

    No Known Activations