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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. 12589
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    INDEX
    Explanations

    mentions of fields or field-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various "field" contexts, indicating different sectors or areas of work or study

    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
    bian
    -0.74
    ILLE
    -0.74
    éĹĺ
    -0.71
    ï¸
    -0.71
    ilyn
    -0.68
    Priv
    -0.67
    mins
    -0.67
    nces
    -0.67
     Fas
    -0.66
    atron
    -0.63
    POSITIVE LOGITS
    fields
    0.85
    field
    0.81
    plane
    0.80
    finder
    0.79
    sheet
    0.77
    spring
    0.77
     sob
    0.76
    grass
    0.76
    planes
    0.75
    keepers
    0.71
    Activations Density 0.045%

    No Known Activations