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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. 4-RES-JB
    11. 10961
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     duct
    -0.72
    ety
    -0.71
    rice
    -0.68
    rolled
    -0.67
    rop
    -0.65
    erest
    -0.64
    soDeliveryDate
    -0.63
    ances
    -0.63
    liness
    -0.62
    handle
    -0.60
    POSITIVE LOGITS
    Analysis
    0.99
    notations
    0.89
     Interpret
    0.77
    aution
    0.76
    WER
    0.73
    Topics
    0.71
     Analysis
    0.69
    uador
    0.69
    tainment
    0.68
    atility
    0.68
    Activations Density 0.016%

    No Known Activations