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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. 4-RES-JB
    11. 2018
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    Explanations

    words related to the act of assessment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluation and assessment processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    feeding
    -0.77
    vous
    -0.76
    fing
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    mpeg
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    sid
    -0.69
    seed
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    Else
    -0.68
    die
    -0.66
    icz
    -0.66
    Jet
    -0.65
    POSITIVE LOGITS
     appraisal
    0.97
     assessments
    0.94
     assessment
    0.94
    oice
    0.90
     assess
    0.85
     assessing
    0.82
     appra
    0.80
     evaluations
    0.80
    essment
    0.77
    ments
    0.77
    Activations Density 0.022%

    No Known Activations