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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. 17826
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    Explanations

    phrases indicating an overall assessment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    articles and prepositions that indicate relationships or connections between concepts

    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
    ahime
    -0.95
    edia
    -0.86
    rique
    -0.72
     [|
    -0.65
    atre
    -0.63
    uca
    -0.62
    bsite
    -0.61
    thren
    -0.61
    asse
    -0.61
    cellence
    -0.60
    POSITIVE LOGITS
    together
    0.97
     except
    0.93
     together
    0.90
     toget
    0.80
     neatly
    0.68
    prises
    0.68
     interconnected
    0.68
     revolves
    0.65
     combined
    0.64
    cape
    0.64
    Activations Density 0.194%

    No Known Activations