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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. 1-RES-JB
    11. 20854
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    Explanations

    references to items or situations with a low cost

    oai_token-act-pair · gpt-3.5-turbo

    references to low-cost items or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klu
    -0.78
     Oo
    -0.72
     BEL
    -0.69
     Pac
    -0.68
     Pok
    -0.66
     VER
    -0.66
     Pont
    -0.65
     Pav
    -0.64
     Kern
    -0.64
     Pap
    -0.64
    POSITIVE LOGITS
    umes
    1.07
    cost
    0.98
    folios
    0.93
    sylvania
    0.89
    Cost
    0.87
    oldown
    0.87
    edIn
    0.86
    s
    0.84
    cuts
    0.84
    tenance
    0.84
    Activations Density 0.012%

    No Known Activations