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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. 2804
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    Explanations

    mentions of indulging or engaging in activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "indulge" and its variations

    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
     Patriarch
    -0.81
    owe
    -0.78
    Ĥİ
    -0.70
    agnetic
    -0.69
    assian
    -0.68
    oval
    -0.66
    ova
    -0.64
    nea
    -0.64
    iop
    -0.64
    ynthesis
    -0.62
    POSITIVE LOGITS
    gence
    1.21
    rences
    1.05
    gently
    1.03
     indul
    0.93
    glers
    0.91
    iously
    0.86
    ging
    0.85
    vec
    0.83
    gent
    0.81
    ged
    0.79
    Activations Density 0.062%

    No Known Activations