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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. 8615
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    Explanations

    phrases indicating the most important or noteworthy parts of a text or event

    oai_token-act-pair · gpt-3.5-turbo

    references to notable moments or key points

    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
     Klux
    -0.75
    itte
    -0.74
    nery
    -0.72
    eln
    -0.70
    gypt
    -0.70
    uthor
    -0.70
    yss
    -0.67
    sil
    -0.65
    abase
    -0.64
    atten
    -0.64
    POSITIVE LOGITS
     reel
    1.39
    iary
    0.91
     highlights
    0.82
    ibility
    0.78
    pect
    0.78
    ivity
    0.71
    icals
    0.71
     scenes
    0.71
     Highlights
    0.69
    ful
    0.69
    Activations Density 0.039%

    No Known Activations