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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "everywhere."

    oai_token-act-pair · gpt-3.5-turbo

    the word "everywhere" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.77
    bal
    -0.76
    Medic
    -0.63
    /+
    -0.63
    stra
    -0.62
    missions
    -0.62
    stood
    -0.62
     testament
    -0.60
    hold
    -0.59
    de
    -0.58
    POSITIVE LOGITS
     else
    1.20
     Everywhere
    1.17
    abouts
    1.10
     imaginable
    0.93
    Ĥİ
    0.87
     oun
    0.84
    Else
    0.84
     everywhere
    0.82
    £ı
    0.80
    igator
    0.78
    Activations Density 0.008%

    No Known Activations