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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. 10-RES-JB
    11. 6208
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    Explanations

    proper nouns, specifically related to names of people and organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific people, particularly those in the public eye

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inel
    -0.74
    efer
    -0.73
    ional
    -0.72
    ively
    -0.71
    encers
    -0.69
    arily
    -0.68
    apers
    -0.66
    ifer
    -0.66
    IVE
    -0.65
    uality
    -0.64
    POSITIVE LOGITS
    wana
    0.96
    oreal
    0.85
    keley
    0.83
    hari
    0.83
    reath
    0.79
    axter
    0.78
    EGIN
    0.73
    ucket
    0.73
    achev
    0.72
    amboo
    0.70
    Activations Density 0.214%

    No Known Activations