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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. 3376
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals and entities involved in legal or financial matters

    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
    UAL
    -0.79
    Lay
    -0.68
    ORGE
    -0.67
     Chomsky
    -0.64
    ivities
    -0.64
     GOODMAN
    -0.64
     Buddhist
    -0.63
    ADVERTISEMENT
    -0.62
    SAY
    -0.62
     microwave
    -0.61
    POSITIVE LOGITS
    bies
    0.85
     Pere
    0.81
    wick
    0.81
    orius
    0.77
    requisite
    0.75
    itone
    0.74
    cffff
    0.73
    byss
    0.73
    rupted
    0.71
    idon
    0.71
    Activations Density 0.008%

    No Known Activations