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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. 9-RES-JB
    6. 8570
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    Explanations

    information related to individuals' personal histories, such as where they came from, where they moved to, and any significant achievements or events in their lives

    oai_token-act-pair · gpt-3.5-turbo

    references to individual experiences related to immigration or gaining citizenship

    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
     dstg
    -0.73
    .--
    -0.72
    %.
    -0.69
    taboola
    -0.66
    wayne
    -0.66
    .",
    -0.65
    .}
    -0.64
    .</
    -0.63
    dayName
    -0.62
    .;
    -0.62
    POSITIVE LOGITS
     prominence
    1.14
     notoriety
    1.05
     fame
    0.94
     popularity
    0.67
     independence
    0.66
     immortality
    0.64
     Challenger
    0.63
     decom
    0.62
    ilde
    0.60
     leukemia
    0.58
    Activations Density 0.474%

    No Known Activations