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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. 10156
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    INDEX
    Explanations

    prepositions indicating preparation, qualification, or ambition

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to qualifications and preparedness for roles or careers

    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
     istg
    -0.88
    alert
    -0.66
    dule
    -0.66
     Supplementary
    -0.66
    details
    -0.65
     Feed
    -0.64
    zyme
    -0.64
     feeds
    -0.63
    bleacher
    -0.63
     Ny
    -0.62
    POSITIVE LOGITS
     careers
    1.43
     career
    1.08
     entrepreneurship
    1.02
     entreprene
    1.02
     professionally
    0.97
     lucrative
    0.96
     fame
    0.96
     jobs
    0.95
    illion
    0.92
     entrepreneur
    0.92
    Activations Density 0.940%

    No Known Activations