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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. 8-RES-JB
    11. 2063
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    INDEX
    Explanations

    words related to active engagement or involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocard
    -0.76
    Boss
    -0.75
    gling
    -0.73
     passage
    -0.72
    oiler
    -0.72
    uran
    -0.72
    ophe
    -0.66
    kowski
    -0.64
    AU
    -0.63
    haul
    -0.63
    POSITIVE LOGITS
    ional
    0.93
    ivism
    0.91
     activities
    0.90
     activity
    0.86
     undertaken
    0.84
    ivity
    0.84
    iveness
    0.83
    ual
    0.79
    ivities
    0.79
     Activities
    0.78
    Activations Density 0.048%

    No Known Activations