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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. 2-RES-JB
    11. 12860
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    Explanations

    numerical values with multiple digits

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly large numbers and identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antha
    -0.72
    boards
    -0.70
    arial
    -0.68
    moon
    -0.67
    pled
    -0.66
    boarding
    -0.66
    many
    -0.66
    vol
    -0.66
    saf
    -0.64
    board
    -0.63
    POSITIVE LOGITS
    é¾
    0.81
    TION
    0.76
    374
    0.72
    202
    0.72
    685
    0.72
    804
    0.72
    208
    0.72
    807
    0.70
    stasy
    0.70
    203
    0.69
    Activations Density 0.027%

    No Known Activations