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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. 13463
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    Explanations

    the phrase "Too [adjective]" being emphasized in a text

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Too [adjective]" indicating excessiveness or negativity about a situation

    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
    enance
    -0.71
    craft
    -0.68
    è¦ļéĨĴ
    -0.64
    ograph
    -0.63
    76561
    -0.62
    inatory
    -0.61
     emer
    -0.60
    insula
    -0.60
     bulletin
    -0.60
    mur
    -0.59
    POSITIVE LOGITS
    Too
    0.93
    ndra
    0.78
     Too
    0.73
    Enough
    0.73
    Msg
    0.71
    utonium
    0.70
    YY
    0.69
    LES
    0.68
    tti
    0.67
    OHN
    0.67
    Activations Density 0.016%

    No Known Activations