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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. 3-RES-JB
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    Explanations

    words related to hesitancy or disregard

    oai_token-act-pair · gpt-3.5-turbo

    terms related to carelessness or disregard for rules and protocols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.80
    ĭ
    -0.75
    ¥µ
    -0.72
    eering
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     Aires
    -0.72
    eer
    -0.69
     Bore
    -0.69
    ractor
    -0.68
    Ĥ¬
    -0.68
     Warrant
    -0.68
    POSITIVE LOGITS
    arding
    0.82
    cit
    0.77
     hes
    0.73
    ity
    0.70
    soDeliveryDate
    0.68
    vol
    0.67
     UNCLASSIFIED
    0.64
    itate
    0.64
    ded
    0.64
    culated
    0.63
    Activations Density 0.028%

    No Known Activations