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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. 18975
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    Explanations

    words related to official or professional communication

    oai_token-act-pair · gpt-3.5-turbo

    references to crucial details and key facts within a document

    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
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    Negative Logits
    sonian
    -0.52
    heses
    -0.48
    htaking
    -0.45
    Houston
    -0.44
    Earth
    -0.43
     CrossRef
    -0.43
    edom
    -0.42
     Lei
    -0.42
    ajor
    -0.42
    terday
    -0.41
    POSITIVE LOGITS
     defences
    0.48
     waning
    0.46
     rapport
    0.45
     administrations
    0.44
     negotiator
    0.43
     negotiators
    0.43
     insecurity
    0.43
    leep
    0.42
    ©¶æ¥µ
    0.42
    owing
    0.42
    Activations Density 1.061%

    No Known Activations