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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. 3-RES-JB
    11. 4875
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    INDEX
    Explanations

    mentions of significant events, changes, or numbers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "significant"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.89
    elf
    -0.84
    tein
    -0.78
    yer
    -0.76
    walk
    -0.75
    ©¶æ
    -0.73
    chers
    -0.72
    cher
    -0.71
    ners
    -0.70
    Simple
    -0.67
    POSITIVE LOGITS
     amounts
    0.97
     amount
    0.87
    itarian
    0.85
     impact
    0.83
    itized
    0.80
     quantities
    0.78
     importance
    0.78
     portions
    0.78
     significance
    0.76
     imped
    0.76
    Activations Density 0.029%

    No Known Activations