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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. 10-RES-JB
    11. 13705
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    topics related to health and well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reloaded
    -0.74
    coni
    -0.72
     Helpful
    -0.70
     Hundred
    -0.69
     Duo
    -0.68
     Rouge
    -0.67
     Albion
    -0.66
    rers
    -0.65
     Argon
    -0.65
     Delta
    -0.65
    POSITIVE LOGITS
    span
    1.19
    iest
    1.18
     care
    1.10
    care
    1.10
    ful
    1.06
    ily
    1.01
    fulness
    0.96
     insurance
    0.95
     hazards
    0.95
     detrim
    0.93
    Activations Density 0.043%

    No Known Activations