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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. 1-RES-JB
    11. 6537
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    Explanations

    proper nouns, specifically names ending with "os"

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of a specific suffix or phrase structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.78
     CTR
    -0.68
    INAL
    -0.66
     Format
    -0.66
    ãĥ©ãĥ³
    -0.64
    enance
    -0.64
     plain
    -0.63
    ãĥ¬
    -0.63
     fixme
    -0.63
    æĸ
    -0.62
    POSITIVE LOGITS
    hiba
    1.28
    ophy
    1.10
    ophical
    1.09
    omething
    1.07
    leep
    1.07
    mith
    1.06
    opher
    1.04
    os
    1.00
    iris
    1.00
    oph
    0.97
    Activations Density 0.023%

    No Known Activations