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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. 1-RES-JB
    11. 11390
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    INDEX
    Explanations

    instances where the text mentions a strong interest or enthusiasm for a particular subject or activity

    oai_token-act-pair · gpt-3.5-turbo

    references to strong feelings of enthusiasm or dedication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avis
    -0.89
    arers
    -0.73
    annis
    -0.70
    pta
    -0.70
    ramid
    -0.69
    imar
    -0.66
    hiba
    -0.66
    aping
    -0.66
    eor
    -0.65
    velop
    -0.63
    POSITIVE LOGITS
     passion
    1.11
     passionately
    0.84
    atical
    0.79
     passionate
    0.78
    naire
    0.77
     attRot
    0.76
    edIn
    0.76
    iously
    0.75
     passions
    0.73
    rament
    0.73
    Activations Density 0.010%

    No Known Activations