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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. 11-RES-JB
    11. 12633
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    Explanations

    adjectives related to physical well-being and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to health conditions and physical well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ZI
    -0.68
    href
    -0.68
     CFR
    -0.65
    enge
    -0.64
    ggles
    -0.61
    enges
    -0.61
    gemony
    -0.59
     overlap
    -0.59
    asio
    -0.59
     Rule
    -0.58
    POSITIVE LOGITS
     recovering
    0.98
     enough
    0.93
     afterward
    0.91
     except
    0.85
     mentally
    0.83
     physically
    0.83
    enough
    0.83
     afterwards
    0.82
    hearted
    0.81
     asleep
    0.81
    Activations Density 0.259%

    No Known Activations