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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. 3-RES-JB
    11. 4690
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    INDEX
    Explanations

    phrases or words related to something convincing or persuasive

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "compelling" and its variations, highlighting strong interest or persuasive factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hop
    -0.72
    hops
    -0.69
    chie
    -0.68
     Pavilion
    -0.67
    sein
    -0.66
    pez
    -0.65
    bek
    -0.64
    olog
    -0.64
    abad
    -0.64
    sama
    -0.63
    POSITIVE LOGITS
    ly
    1.03
    lishes
    0.91
    NESS
    0.87
     compelling
    0.87
     enough
    0.79
    ingly
    0.79
    LY
    0.78
    enough
    0.78
    TextColor
    0.76
    Reviewer
    0.74
    Activations Density 0.015%

    No Known Activations