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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. 6-RES-JB
    11. 18966
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    INDEX
    Explanations

    references to the brand or product "Fire" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Fire" associated with various products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.88
    xus
    -0.75
    berra
    -0.75
    eday
    -0.73
    DonaldTrump
    -0.73
    edy
    -0.72
    sembly
    -0.70
     Morg
    -0.70
    ļéĨĴ
    -0.70
    Ń·
    -0.69
    POSITIVE LOGITS
    flies
    1.30
    storm
    1.10
    fighter
    1.01
    fly
    1.00
    proof
    0.99
    balls
    0.97
    fighters
    0.94
    storms
    0.94
    bats
    0.93
    bird
    0.90
    Activations Density 0.030%

    No Known Activations