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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. 5698
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    Explanations

    numbers used to indicate a specific quantity or time frame, such as "Four" or "Three"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical prefixes indicating quantities

    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
    ifice
    -0.67
     agre
    -0.66
    opa
    -0.66
    oper
    -0.65
    Ïī
    -0.61
    tre
    -0.59
    ////
    -0.58
    ICO
    -0.57
    sth
    -0.57
    `.
    -0.57
    POSITIVE LOGITS
    teen
    1.51
    een
    1.21
     months
    1.19
     weeks
    1.17
     Months
    1.16
     years
    1.12
    Thirty
    1.11
     days
    1.05
     Weeks
    1.05
     Years
    1.00
    Activations Density 0.113%

    No Known Activations