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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. 7-RES-JB
    11. 3577
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    Explanations

    phrases involving sharing information or findings

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve sharing information or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    nom
    -0.69
    pmwiki
    -0.67
    venant
    -0.66
    owell
    -0.63
    mun
    -0.63
    steen
    -0.62
    bringer
    -0.61
     vacc
    -0.60
     priced
    -0.60
    nit
    -0.59
    POSITIVE LOGITS
     fellow
    0.97
     colleagues
    0.91
     passers
    0.90
    stood
    0.88
     regards
    0.87
     regard
    0.87
     coworkers
    0.86
     friends
    0.85
     us
    0.85
     classmates
    0.83
    Activations Density 0.059%

    No Known Activations