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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. 3-RES-JB
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    Explanations

    mention of the word "Wor" at a particular position in the text for which "Worcester" seems to be relevant

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Worcester" and variations of the word "work."

    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
    xual
    -0.92
    ividual
    -0.87
    anwhile
    -0.83
    ocene
    -0.83
    uyomi
    -0.76
    chnology
    -0.71
    insula
    -0.70
    ocracy
    -0.70
    ocratic
    -0.68
    yrinth
    -0.67
    POSITIVE LOGITS
    risome
    1.01
     Wor
    0.91
    ried
    0.85
    rier
    0.80
    rell
    0.80
    riers
    0.78
    vin
    0.77
    DN
    0.72
     Wyn
    0.71
    fare
    0.71
    Activations Density 0.007%

    No Known Activations