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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. 6393
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to technical and medical processes or conditions

    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
    outube
    -0.68
    quickShipAvailable
    -0.64
    doi
    -0.61
    -0.59
     Qt
    -0.55
    Rocket
    -0.55
    utenant
    -0.55
    ĪĴ
    -0.53
    negie
    -0.53
    Writer
    -0.53
    POSITIVE LOGITS
    thood
    0.66
    ãĤ´ãĥ³
    0.64
    ilts
    0.62
    ricks
    0.62
     eleph
    0.60
    cients
    0.60
     experien
    0.59
    odge
    0.59
     decre
    0.59
    UCT
    0.58
    Activations Density 1.556%

    No Known Activations