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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. 9139
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    INDEX
    Explanations

    business-related terms and financial estimations

    oai_token-act-pair · gpt-3.5-turbo

    numerical estimates or projections related to quantities or values

    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
    mone
    -0.70
    helm
    -0.63
    ĪĴ
    -0.61
    redo
    -0.60
    malink
    -0.59
    borne
    -0.59
    sson
    -0.58
    oran
    -0.57
    redited
    -0.57
    onne
    -0.55
    POSITIVE LOGITS
     estimated
    1.10
     upwards
    1.07
     totaling
    1.05
     costing
    1.04
     approximately
    1.04
     ranging
    1.03
     whopping
    1.02
     tens
    1.01
     averaging
    0.97
     Approximately
    0.96
    Activations Density 1.537%

    No Known Activations