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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. 9-RES-JB
    11. 16401
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    Explanations

    large quantities or comparisons involving numbers or amounts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparisons involving quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilic
    -0.66
    ffen
    -0.65
     largeDownload
    -0.63
    NEY
    -0.63
    DH
    -0.62
    ACTED
    -0.61
     derog
    -0.61
    ieri
    -0.61
    OSP
    -0.60
    ////////
    -0.59
    POSITIVE LOGITS
     tripled
    0.93
    whelming
    0.90
     9000
    0.84
     200
    0.82
     doubled
    0.82
    drive
    0.81
     doubling
    0.81
     600
    0.80
     400
    0.79
     half
    0.79
    Activations Density 0.050%

    No Known Activations