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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22611
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.65
     AHL
    -0.61
     USL
    -0.59
     Lans
    -0.58
     Byr
    -0.57
     Dire
    -0.57
     Moff
    -0.56
     Palest
    -0.56
     Haas
    -0.56
     ferment
    -0.55
    POSITIVE LOGITS
    axter
    0.73
    BuyableInstoreAndOnline
    0.70
    EVA
    0.67
    alde
    0.66
    pron
    0.62
    Oracle
    0.62
    rican
    0.61
    wana
    0.59
    eva
    0.59
    ourt
    0.59
    Activations Density 0.481%

    No Known Activations