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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. 7026
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names related to people or identities

    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
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    No Comments

    Negative Logits
     OCT
    -0.82
    WINDOWS
    -0.78
     PAR
    -0.78
     IX
    -0.76
     SOU
    -0.75
    س
    -0.73
     polyg
    -0.72
     Instr
    -0.71
     VI
    -0.71
     constitu
    -0.70
    POSITIVE LOGITS
    er
    1.69
    ER
    1.46
    ers
    1.44
    erm
    1.34
    ering
    1.24
    ership
    1.23
    erd
    1.22
    erk
    1.22
    eric
    1.20
    ered
    1.20
    Activations Density 0.194%

    No Known Activations