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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. 1-RES-JB
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    the year "1999"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     periodic
    -0.69
     ship
    -0.68
     clipboard
    -0.67
     cloning
    -0.66
     adversaries
    -0.65
    attled
    -0.64
    ship
    -0.63
    amina
    -0.63
    ingham
    -0.63
     stead
    -0.61
    POSITIVE LOGITS
    å¹
    0.90
    ãĤ¦ãĤ¹
    0.87
    999
    0.80
    ĸļ
    0.79
    --+
    0.78
     Reincarn
    0.76
    9999
    0.73
     Ezek
    0.72
    2000
    0.71
    1996
    0.69
    Activations Density 0.012%

    No Known Activations