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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. 2-RES-JB
    11. 12450
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of relevance or connection to the main topic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.73
    ocker
    -0.71
    aeper
    -0.71
    amping
    -0.70
    =-=-=-=-=-=-=-=-
    -0.69
    addafi
    -0.69
    ifter
    -0.68
    âķIJâķIJ
    -0.67
    asure
    -0.66
    aneers
    -0.65
    POSITIVE LOGITS
     unrelated
    1.11
     minded
    0.90
    worldly
    0.88
     thereto
    0.88
    ities
    0.77
    minded
    0.77
    nesses
    0.76
    TextColor
    0.76
    wise
    0.75
    hetical
    0.74
    Activations Density 0.008%

    No Known Activations