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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. 1-RES-JB
    11. 1946
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    Explanations

    proper nouns related to a "WR" (possibly referring to a wide receiver in sports)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of wide receivers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -1.12
    EStream
    -0.72
     Belg
    -0.66
     sidx
    -0.64
    chell
    -0.64
    asia
    -0.64
     Tsarnaev
    -0.63
     Nato
    -0.63
     Maid
    -0.63
    htar
    -0.63
    POSITIVE LOGITS
     WR
    1.11
    WR
    1.07
    ONG
    1.04
    ATH
    0.93
    ACK
    0.89
    PF
    0.85
    MJ
    0.83
    STON
    0.83
    RS
    0.82
    ITT
    0.81
    Activations Density 0.005%

    No Known Activations