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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. 6095
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of software applications

    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
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    Negative Logits
    rique
    -0.71
    construct
    -0.69
    few
    -0.65
    neck
    -0.65
    liction
    -0.62
    neg
    -0.61
    stad
    -0.61
    Ul
    -0.59
     Berm
    -0.58
    bilt
    -0.58
    POSITIVE LOGITS
    ynthesis
    0.90
    linger
    0.88
    uggest
    0.81
    afety
    0.80
     apps
    0.79
     downloaded
    0.75
    erver
    0.74
    paces
    0.74
    pring
    0.73
    cape
    0.72
    Activations Density 0.044%

    No Known Activations