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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. 11-RES-JB
    11. 4080
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    INDEX
    Explanations

    references to films and filmmakers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the film industry and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Armed
    -0.70
     Cortana
    -0.69
     Position
    -0.68
    20439
    -0.66
     AFC
    -0.66
     Kis
    -0.65
     Zika
    -0.65
     Tide
    -0.65
     Emails
    -0.65
     NFC
    -0.65
    POSITIVE LOGITS
    wright
    1.08
    writers
    1.08
    writing
    1.07
    writer
    1.06
    wr
    1.02
     critic
    1.01
     studios
    1.00
    production
    1.00
     festivals
    0.97
    produ
    0.97
    Activations Density 0.142%

    No Known Activations