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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. 11-RES-JB
    11. 1394
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    INDEX
    Explanations

    numbers relating to quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apest
    -0.70
    advant
    -0.69
    eus
    -0.66
    ileaks
    -0.63
     breeze
    -0.63
    alogy
    -0.60
     Painting
    -0.59
    andr
    -0.58
     Painter
    -0.58
    atorial
    -0.58
    POSITIVE LOGITS
    %.
    1.44
    %,
    1.16
    %;
    1.12
    %:
    1.01
     apiece
    0.97
     persons
    0.94
     individuals
    0.90
    +.
    0.90
     percent
    0.85
     units
    0.84
    Activations Density 0.159%

    No Known Activations