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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. 11-RES-JB
    11. 21926
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    Explanations

    words related to spreading or propagating

    oai_token-act-pair · gpt-3.5-turbo

    words related to deception or misleading actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     loos
    -0.74
    EngineDebug
    -0.70
     consequential
    -0.69
     transitions
    -0.67
     poles
    -0.64
     Columb
    -0.64
     shortened
    -0.63
    76561
    -0.63
    liest
    -0.62
     intermedi
    -0.62
    POSITIVE LOGITS
    itate
    1.37
    igrate
    1.33
    imize
    1.30
    ify
    1.29
    idate
    1.27
    ceive
    1.26
    iate
    1.26
    ulate
    1.25
    icate
    1.23
    igate
    1.21
    Activations Density 0.244%

    No Known Activations