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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. 13109
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    Explanations

    names and titles of people in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names and identifiers related to individuals

    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
    20439
    -0.67
    conom
    -0.67
    ronics
    -0.66
    ijing
    -0.65
    iety
    -0.64
     reconc
    -0.63
    iences
    -0.62
     highways
    -0.62
     Helpful
    -0.61
    agements
    -0.60
    POSITIVE LOGITS
    Jr
    1.06
     Jr
    0.98
     TBA
    0.90
     ???
    0.75
     TBD
    0.70
     Possibly
    0.68
     Completed
    0.67
     unpublished
    0.67
     Mixed
    0.67
     unsuccessfully
    0.65
    Activations Density 0.190%

    No Known Activations