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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. 11-RES-JB
    11. 180
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    INDEX
    Explanations

    proper nouns like names of universities, locations, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and sentence boundaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.86
    onut
    -0.81
    CN
    -0.81
     surpr
    -0.80
    NL
    -0.76
    ãĥĥãĥī
    -0.76
    Bu
    -0.76
    iosyn
    -0.76
    ãĥķãĤ©
    -0.75
    rodu
    -0.74
    POSITIVE LOGITS
     Ward
    2.50
    Ward
    2.45
     ward
    1.93
     Warden
    1.54
     wards
    1.49
    Rand
    1.31
    ward
    1.20
     Mand
    1.18
    Mand
    1.11
     Rand
    1.11
    Activations Density 0.249%

    No Known Activations