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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. 7-RES-JB
    11. 21672
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    INDEX
    Explanations

    actions or instructions related to cooking or food preparation

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and actions in a functional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atform
    -0.81
    vind
    -0.77
    ablishment
    -0.76
    ylum
    -0.75
    realDonaldTrump
    -0.72
    "],
    -0.72
    olitical
    -0.70
    cosystem
    -0.70
    Merit
    -0.69
    arenthood
    -0.67
    POSITIVE LOGITS
     notation
    0.92
     abbrevi
    0.91
     omit
    0.86
     subscript
    0.86
     preferred
    0.85
     abbre
    0.85
     prefer
    0.81
     shorthand
    0.76
     substitution
    0.76
     approximate
    0.75
    Activations Density 0.709%

    No Known Activations