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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. 0-RES-JB
    11. 13749
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    Explanations

    terms related to specific actions or processes, especially those related to alerts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    forms of the word "action" or "states" indicating activities or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     upside
    -0.61
     stag
    -0.61
     fre
    -0.59
     real
    -0.58
     HIGH
    -0.56
    WIN
    -0.56
    LOS
    -0.56
     girl
    -0.55
     Hust
    -0.54
     cliff
    -0.54
    POSITIVE LOGITS
    ations
    4.28
    ATIONS
    2.68
    ation
    2.61
    ATION
    2.22
    ational
    2.11
    ators
    1.95
    ating
    1.83
    acion
    1.81
    atory
    1.79
    ated
    1.76
    Activations Density 0.011%

    No Known Activations