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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. 14096
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    Explanations

    location names

    oai_token-act-pair · gpt-3.5-turbo

    references to cities and their respective numerical identifiers or statistics

    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
    aditional
    -0.84
     eleph
    -0.83
     tremend
    -0.83
     citiz
    -0.79
    senal
    -0.74
     oun
    -0.74
    ò
    -0.70
    ThumbnailImage
    -0.69
    Þ
    -0.68
     exha
    -0.67
    POSITIVE LOGITS
    ↵
    1.01
    NULL
    0.72
    DragonMagazine
    0.66
    Jr
    0.66
    Chel
    0.63
    Merit
    0.63
    Lua
    0.61
    <|endoftext|>
    0.61
    ################################
    0.60
    ????????
    0.59
    Activations Density 0.251%

    No Known Activations