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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. 4-RES-JB
    11. 15772
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    Explanations

    professionals from various fields or positions

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to individual identities and professions

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

    No Comments

    Negative Logits
    zees
    -0.69
     perman
    -0.65
     Defin
    -0.64
    Ire
    -0.61
     timelines
    -0.60
     favour
    -0.59
    assies
    -0.59
    ravings
    -0.59
     Parties
    -0.58
     Almighty
    -0.57
    POSITIVE LOGITS
     planner
    0.82
    uably
    0.74
    ossal
    0.72
     representative
    0.71
     coordinator
    0.71
     assistant
    0.71
    essor
    0.68
     enthusiast
    0.66
    named
    0.65
     agent
    0.65
    Activations Density 0.551%

    No Known Activations