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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. 8-RES-JB
    11. 1329
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    Explanations

    capital single letters followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'S' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPR
    -0.69
     unrestricted
    -0.67
     crib
    -0.67
    tops
    -0.66
     Ribbon
    -0.62
     techno
    -0.61
     stressed
    -0.61
     undecided
    -0.61
     narc
    -0.61
     cord
    -0.60
    POSITIVE LOGITS
    ixty
    1.34
    ESSION
    1.33
    ierra
    1.26
    olutions
    1.24
    atisf
    1.24
    OUND
    1.23
    ometime
    1.23
    ustain
    1.20
    atellite
    1.20
    omew
    1.20
    Activations Density 0.056%

    No Known Activations