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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. 6-RES-JB
    11. 17509
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    Explanations

    phrases related to improvement, innovation, and commitment

    oai_token-act-pair · gpt-3.5-turbo

    themes related to community building and improving public resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     circling
    -0.75
     circled
    -0.71
     unlucky
    -0.71
     caveats
    -0.69
     treason
    -0.69
     winding
    -0.67
     proxies
    -0.66
     suggesting
    -0.66
     errone
    -0.66
     waving
    -0.66
    POSITIVE LOGITS
     optimum
    0.93
     sustainable
    0.91
    ãģ®éŃĶ
    0.88
    cellence
    0.86
     optimal
    0.86
    ordable
    0.83
    chie
    0.82
    Quality
    0.81
     achievable
    0.81
     viable
    0.80
    Activations Density 1.026%

    No Known Activations