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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. 4-RES-JB
    11. 11175
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    INDEX
    Explanations

    phrases indicating a lack of expectation or desire

    oai_token-act-pair · gpt-3.5-turbo

    negation or refusal patterns in statements

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

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.88
     Imaging
    -0.65
     Fake
    -0.65
     Colleges
    -0.65
    cerning
    -0.64
    ecause
    -0.64
     Sass
    -0.62
    ixtures
    -0.61
    elling
    -0.61
     Assessment
    -0.61
    POSITIVE LOGITS
     himself
    1.15
     personally
    0.76
     subordinates
    0.70
     herself
    0.69
    stro
    0.68
    liest
    0.67
    lich
    0.67
    pocket
    0.65
    arte
    0.65
     Himself
    0.63
    Activations Density 1.090%

    No Known Activations