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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. 10736
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    INDEX
    Explanations

    medical conditions and symptoms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health conditions and their effects

    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
    senal
    -0.76
     Franch
    -0.70
    Lenin
    -0.70
    ovie
    -0.68
    èĢħ
    -0.68
    mpire
    -0.67
    DVD
    -0.66
    Dialogue
    -0.65
     Annotations
    -0.64
    Ark
    -0.64
    POSITIVE LOGITS
     syndrome
    0.75
     lipid
    0.74
     carbohydrates
    0.73
     herbal
    0.73
     cardiac
    0.73
    ascular
    0.71
     therapeutic
    0.71
     toxins
    0.70
     medicinal
    0.70
     hormonal
    0.70
    Activations Density 0.788%

    No Known Activations