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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. 0-RES-JB
    11. 630
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    Explanations

    words related to medical assessments or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obsession or preoccupation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blue
    -0.63
    more
    -0.62
     Brave
    -0.62
     Cy
    -0.61
    bis
    -0.60
    PO
    -0.59
    paste
    -0.59
     Ac
    -0.58
     sprint
    -0.58
     paraly
    -0.58
    POSITIVE LOGITS
    essed
    4.67
    essing
    3.11
    esses
    2.36
    ession
    1.95
    ess
    1.82
    essor
    1.77
    essions
    1.53
    essors
    1.47
    essment
    1.43
    ESS
    1.31
    Activations Density 0.016%

    No Known Activations