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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. 7-RES-JB
    11. 3513
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    INDEX
    Explanations

    proper nouns, especially those that are associated with submitted content

    oai_token-act-pair · gpt-3.5-turbo

    the word "Sub" and its variations, indicating references to submissions or subscription-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cors
    -0.76
     Zurich
    -0.73
    INESS
    -0.71
     Dol
    -0.70
     fir
    -0.70
     Papers
    -0.69
    OHN
    -0.69
    GGGG
    -0.68
    iard
    -0.68
     Muse
    -0.67
    POSITIVE LOGITS
    sequent
    1.60
    mitted
    1.55
    sequently
    1.54
    stantial
    1.40
    mitting
    1.28
    verting
    1.28
    ordinate
    1.26
    missive
    1.25
    marine
    1.23
    scription
    1.22
    Activations Density 0.018%

    No Known Activations