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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. 7541
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    INDEX
    Explanations

    information related to budget, revenue, production, and film details

    oai_token-act-pair · gpt-3.5-turbo

    financial metrics and budgets related to films

    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
    fax
    -0.76
     clipboard
    -0.73
    ENTION
    -0.72
    staff
    -0.72
     Provision
    -0.72
     spons
    -0.71
     Flickr
    -0.70
    rade
    -0.70
    Token
    -0.69
     mailing
    -0.67
    POSITIVE LOGITS
     thriller
    1.35
     sequel
    1.30
     trilogy
    1.22
     autobi
    1.19
     sequels
    1.15
     dystopian
    1.14
     dram
    1.13
     anthology
    1.12
     novels
    1.12
     soundtrack
    1.10
    Activations Density 0.594%

    No Known Activations