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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. 8-RES-JB
    11. 2366
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    Explanations

    references to specific people, places, or things

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities in a context that suggests importance or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Such
    -0.69
     Designs
    -0.59
    Morning
    -0.58
    é¾
    -0.58
    eg
    -0.57
     Such
    -0.57
    aughter
    -0.56
     Figures
    -0.55
    ãĤĵ
    -0.55
    ©¶æ¥µ
    -0.55
    POSITIVE LOGITS
    liest
    1.23
    iest
    1.03
     closest
    0.82
    erest
    0.77
    hest
    0.76
    uer
    0.74
    ultimate
    0.73
    ulla
    0.72
     nearest
    0.70
    cule
    0.68
    Activations Density 0.171%

    No Known Activations