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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. 0-RES-JB
    11. 1547
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    Explanations

    cardinal numbers related to large amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to large quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igent
    -0.74
    ishable
    -0.73
    egu
    -0.65
    omb
    -0.64
    acly
    -0.63
    ierre
    -0.62
    ocker
    -0.62
    estation
    -0.62
    estine
    -0.62
    itives
    -0.61
    POSITIVE LOGITS
     warr
    0.71
    ousand
    0.71
     obsc
    0.67
    uph
    0.66
    hiba
    0.66
    fuck
    0.64
     Seym
    0.63
    wash
    0.63
     Saban
    0.62
     princ
    0.61
    Activations Density 0.000%

    No Known Activations