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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 7477
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    INDEX
    Explanations

    proper nouns, specifically names containing the initial "R"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "R"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -0.77
    etheless
    -0.73
    isSpecialOrderable
    -0.68
    essage
    -0.63
    ozy
    -0.63
    icles
    -0.61
    acion
    -0.60
    course
    -0.60
    GMT
    -0.59
    ocument
    -0.59
    POSITIVE LOGITS
     R
    3.00
    R
    1.98
     r
    1.40
     RI
    1.31
     RR
    1.20
     RD
    1.19
     RA
    1.18
     RM
    1.18
     RU
    1.18
     Rx
    1.18
    Activations Density 0.037%

    No Known Activations