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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. 9-RES-JB
    11. 23896
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    Explanations

    terms related to appointments or approvals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "App" or its variations, often indicating applications or appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     caucus
    -0.64
     conce
    -0.63
     aver
    -0.62
     Berm
    -0.62
     MU
    -0.61
     Kern
    -0.61
    terday
    -0.60
     Spectrum
    -0.60
    EStreamFrame
    -0.60
     knot
    -0.60
    POSITIVE LOGITS
    ointment
    1.63
    alach
    1.51
    rentices
    1.50
    earances
    1.47
    reciation
    1.46
    eared
    1.43
    earance
    1.42
    oint
    1.41
    earing
    1.41
    arent
    1.39
    Activations Density 0.031%

    No Known Activations