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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. 14561
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    Explanations

    references to the material 'steel'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of steel and related industrial terms

    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
    sembly
    -0.79
    uate
    -0.77
     Kard
    -0.74
     Niet
    -0.72
    romeda
    -0.68
     Garr
    -0.66
     DOE
    -0.65
     NCT
    -0.65
     sovere
    -0.64
    itia
    -0.64
    POSITIVE LOGITS
    Series
    1.13
    workers
    1.10
    works
    1.08
     wool
    1.05
    worker
    1.00
     beams
    0.93
    clad
    0.91
    fish
    0.88
    steel
    0.88
    heart
    0.87
    Activations Density 0.014%

    No Known Activations