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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. 2475
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    INDEX
    Explanations

    phrases related to contrasting or emphasizing a point

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "In" as a recurring introductory element in statements

    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
    FTWARE
    -0.67
    KI
    -0.66
    abilia
    -0.66
    igree
    -0.65
    ship
    -0.64
    resh
    -0.64
    erella
    -0.63
    sburgh
    -0.62
    lot
    -0.61
     enthusi
    -0.60
    POSITIVE LOGITS
    sofar
    1.33
     essence
    1.22
     contrast
    1.15
     fact
    1.15
    herent
    1.15
     reality
    1.10
     fairness
    1.06
     spite
    1.05
     retrospect
    1.05
     effect
    1.04
    Activations Density 0.116%

    No Known Activations