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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. 7-RES-JB
    11. 11505
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    Explanations

    phrases indicating claims or assertions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of assertion or report of responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arrang
    -0.78
     guiActiveUnfocused
    -0.67
     Watching
    -0.66
    omb
    -0.63
    perature
    -0.62
    ombo
    -0.60
    illard
    -0.60
     Selected
    -0.60
    odes
    -0.59
    onel
    -0.59
    POSITIVE LOGITS
     innocence
    0.76
     ownership
    0.73
     asylum
    0.73
    ulence
    0.70
     respons
    0.70
     credit
    0.68
     responsibility
    0.67
    ij士
    0.67
     deductions
    0.67
     falsely
    0.67
    Activations Density 0.042%

    No Known Activations