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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. 6-RES-JB
    11. 3622
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    Explanations

    numerical data and statistics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    govtrack
    -0.71
    ãĤ´ãĥ³
    -0.71
    olo
    -0.70
    plete
    -0.64
    ét
    -0.64
    livion
    -0.63
    ée
    -0.61
    zilla
    -0.61
     anew
    -0.61
     alongside
    -0.60
    POSITIVE LOGITS
     aforementioned
    1.01
     heaviest
    1.01
     greatest
    1.00
     earliest
    0.99
    ses
    0.99
     strongest
    0.97
     biggest
    0.97
     toughest
    0.97
     brightest
    0.96
     smallest
    0.94
    Activations Density 0.124%

    No Known Activations