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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. 3-RES-JB
    11. 9318
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    Explanations

    words related to food seasoning

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "il" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.90
    ĵĺ
    -0.84
    Ħ¢
    -0.81
    ©¶æ¥µ
    -0.76
    -+-+
    -0.76
    ij士
    -0.74
    ¥ŀ
    -0.74
    İĭ
    -0.73
    ĪĴ
    -0.71
    £ı
    -0.70
    POSITIVE LOGITS
    ted
    1.03
     Nadu
    0.98
    ibrary
    0.95
    ibr
    0.94
    uvian
    0.93
    aments
    0.92
    uminati
    0.92
    iberal
    0.91
    ogical
    0.87
    uv
    0.87
    Activations Density 0.021%

    No Known Activations