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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. 12165
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    Explanations

    key phrases related to different stages, points, forms, states, sources, parts, places, and platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to different categories or classifications

    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
    ahime
    -0.69
    odcast
    -0.63
     Tycoon
    -0.61
     Thumbnails
    -0.61
    illin
    -0.59
     Removal
    -0.59
     2024
    -0.59
    cknowled
    -0.58
    Dialogue
    -0.58
    mbudsman
    -0.58
    POSITIVE LOGITS
    hops
    0.90
     imaginable
    0.88
    paces
    0.88
    rencies
    0.83
     configurations
    0.83
     ranging
    0.80
    hips
    0.80
     besides
    0.80
    agos
    0.79
     including
    0.78
    Activations Density 0.228%

    No Known Activations