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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. 3196
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    Explanations

    phrases related to various forms of human actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to activity or actions, especially in a documented or monitored context

    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
    Boss
    -0.83
    ocard
    -0.81
    gling
    -0.77
    oiler
    -0.75
    ophe
    -0.72
    uran
    -0.68
    inka
    -0.67
    AU
    -0.66
    kowski
    -0.65
     passage
    -0.65
    POSITIVE LOGITS
    ional
    0.94
    ivism
    0.90
     undertaken
    0.90
     activities
    0.87
    iveness
    0.85
     activity
    0.85
    ivity
    0.82
    uality
    0.80
    ual
    0.80
     patterns
    0.79
    Activations Density 0.048%

    No Known Activations