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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. 7-RES-JB
    11. 409
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    Explanations

    mentions of small size or being young

    oai_token-act-pair · gpt-3.5-turbo

    the word "little" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chwitz
    -0.82
    igham
    -0.79
    worthiness
    -0.74
    orthy
    -0.74
    idents
    -0.71
    anwhile
    -0.70
    visor
    -0.69
    ï¸
    -0.69
     conclud
    -0.67
    idential
    -0.67
    POSITIVE LOGITS
     bit
    0.96
     boy
    0.85
     girl
    0.83
     snippets
    0.83
     kid
    0.82
     girls
    0.80
     tid
    0.80
     boys
    0.79
     helper
    0.75
     sister
    0.74
    Activations Density 0.029%

    No Known Activations