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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. 24539
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    Explanations

    keyboard characters, symbols, and a few technical terms

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and special characters in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Fiat
    -0.82
     Practices
    -0.73
     Gain
    -0.69
     Kard
    -0.65
    gow
    -0.63
    istries
    -0.61
     Rossi
    -0.60
     Juno
    -0.60
     Gemini
    -0.59
     Vanguard
    -0.58
    POSITIVE LOGITS
    added
    0.73
     endings
    0.70
    ww
    0.67
    ================================
    0.67
    rical
    0.66
    hello
    0.66
    #$#$
    0.65
    imil
    0.65
    iris
    0.65
    ritical
    0.64
    Activations Density 0.236%

    No Known Activations