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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. 6-RES-JB
    11. 17426
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    INDEX
    Explanations

    words containing the substring "mon" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    references to monolithic structures or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.88
     Norn
    -0.88
    ORTS
    -0.85
    ULTS
    -0.77
    OHN
    -0.77
    IBLE
    -0.76
    æĸ¹
    -0.74
    FUL
    -0.72
    ÃĽ
    -0.72
    CRIP
    -0.71
    POSITIVE LOGITS
    stros
    1.30
    olith
    1.23
    olithic
    1.16
    soon
    1.11
    ograph
    1.07
    oton
    1.04
    ocular
    1.03
    ographs
    1.02
    omial
    1.02
    ique
    0.98
    Activations Density 0.013%

    No Known Activations