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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. 2731
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    Explanations

    medical conditions and treatments, especially related to infections, dehydration, and complications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to serious medical conditions and their implications

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -0.74
    Lenin
    -0.72
    Flags
    -0.72
     Bezos
    -0.70
     Trotsky
    -0.69
     SpaceX
    -0.68
    Catalog
    -0.67
     Railway
    -0.66
     Voting
    -0.66
     Pirates
    -0.65
    POSITIVE LOGITS
     hormonal
    1.24
     hormone
    1.23
     medication
    1.19
     medications
    1.16
     diabetic
    1.15
     cardiovascular
    1.11
     disease
    1.11
     hormones
    1.10
     symptoms
    1.10
     clinically
    1.09
    Activations Density 1.069%

    No Known Activations