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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. 4536
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    Explanations

    numeric values with units

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating items or quantities that are sold out

    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
    esta
    -0.79
    âĹ¼
    -0.73
    icer
    -0.70
     corrid
    -0.68
    »
    -0.68
     metaphors
    -0.67
     newfound
    -0.64
     lett
    -0.64
    ppard
    -0.63
    ceptor
    -0.62
    POSITIVE LOGITS
     Requires
    1.19
    ↵↵
    1.12
    ↵
    1.10
     Includes
    1.05
    <|endoftext|>
    1.02
     (~
    1.00
     Recommended
    1.00
     (+
    0.99
     Available
    0.97
    /$
    0.95
    Activations Density 0.207%

    No Known Activations