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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. 4249
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    Explanations

    keywords related to technical details and specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific object or system

    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
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    No Comments

    Negative Logits
    direction
    -0.81
     Occupations
    -0.69
    control
    -0.69
    sets
    -0.68
    apeake
    -0.68
    benefit
    -0.68
    portion
    -0.67
    education
    -0.64
     indo
    -0.63
    yip
    -0.61
    POSITIVE LOGITS
    orf
    0.92
    itudinal
    0.87
    iffe
    0.86
    itud
    0.82
    mann
    0.80
    ounge
    0.78
    inen
    0.77
    acht
    0.77
    uce
    0.76
    iever
    0.76
    Activations Density 0.006%

    No Known Activations