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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. 20686
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    oai_token-act-pair · gpt-3.5-turbo

    parentheses and related symbols

    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
     peg
    -0.69
     bricks
    -0.66
     hypers
    -0.65
     spir
    -0.65
     Rising
    -0.65
     wing
    -0.64
     Ku
    -0.63
     appropri
    -0.63
     cram
    -0.63
     petrol
    -0.62
    POSITIVE LOGITS
    âĢ¦)
    1.31
    ...)
    1.25
    emphasis
    1.19
    ++)
    1.18
    laughs
    1.13
    ?)
    1.08
    Laughs
    1.05
    *)
    1.02
    aka
    1.01
    sic
    0.99
    Activations Density 0.089%

    No Known Activations