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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. 11-RES-JB
    11. 13410
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    INDEX
    Explanations

    phrases indicating potential or prospective actions or individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to possibility or potential

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thora
    -0.84
    esthesia
    -0.79
    anguage
    -0.76
    ossession
    -0.75
    _.
    -0.74
    illance
    -0.73
    esson
    -0.73
    urgy
    -0.70
    lang
    -0.69
    ollen
    -0.68
    POSITIVE LOGITS
     buyers
    1.20
     clients
    1.19
     recipients
    1.18
     entrants
    1.17
     beneficiaries
    1.11
     employers
    1.11
     donors
    1.11
     claimants
    1.09
     employees
    1.09
     competitors
    1.09
    Activations Density 0.207%

    No Known Activations