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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. 9-RES-JB
    11. 24149
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    INDEX
    Explanations

    capital letters combined with numbers that are common in proper nouns or titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the end-of-text token, indicating the conclusion of various descriptions of creatures or characters

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    grass
    -0.75
     Schumer
    -0.72
     removable
    -0.69
     cart
    -0.68
     Granger
    -0.67
     slack
    -0.67
     CPR
    -0.66
     reversible
    -0.66
     Nieto
    -0.64
     Totem
    -0.63
    POSITIVE LOGITS
    ansom
    1.26
    alph
    1.22
    otten
    1.21
    haps
    1.21
    agnar
    1.21
    ounding
    1.21
    ICH
    1.21
    senal
    1.18
    outine
    1.18
    abbit
    1.17
    Activations Density 0.041%

    No Known Activations