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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. 13730
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    Explanations

    words related to specific names or terms, possibly focusing on names of places or entities

    oai_token-act-pair · gpt-3.5-turbo

    specific two-letter combinations or letter pairs in contexts related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.61
     kittens
    -0.60
    illac
    -0.60
    jri
    -0.60
     Whats
    -0.56
    Reviewer
    -0.56
     ministers
    -0.55
    eps
    -0.54
    umenthal
    -0.53
    olicy
    -0.53
    POSITIVE LOGITS
    ividual
    1.04
    urities
    0.86
    adow
    0.76
    asonic
    0.76
    iband
    0.76
     Micha
    0.76
    uments
    0.76
    itably
    0.76
    umerable
    0.75
    entials
    0.71
    Activations Density 0.097%

    No Known Activations