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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. 4-RES-JB
    11. 1245
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly "Curt" and "Chern"

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

    No Comments

    Negative Logits
    ĺħ
    -0.82
    ocene
    -0.78
    ĸ
    -0.72
    gamer
    -0.71
    ĺ
    -0.70
    aqu
    -0.68
    kaya
    -0.68
    roman
    -0.68
    uries
    -0.67
    andro
    -0.65
    POSITIVE LOGITS
    casting
    0.78
    ulhu
    0.74
    ilk
    0.73
    lp
    0.72
    sonian
    0.72
    obyl
    0.71
    spir
    0.67
    brate
    0.67
    iesel
    0.66
     fide
    0.66
    Activations Density 0.031%

    No Known Activations