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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. 4-RES-JB
    11. 24336
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    Explanations

    references to "micro" related terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to microscopic entities or components

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

    No Comments

    Negative Logits
    swick
    -0.84
    UAL
    -0.78
    atche
    -0.74
     Guilty
    -0.73
     Rack
    -0.71
    lain
    -0.68
    enburg
    -0.68
     Seeking
    -0.68
    IELD
    -0.67
     Archdemon
    -0.67
    POSITIVE LOGITS
    organisms
    1.17
    seconds
    1.14
    gravity
    1.09
    cos
    1.06
    bial
    1.03
    flu
    0.92
    cephal
    0.90
    film
    0.90
    second
    0.90
    enter
    0.89
    Activations Density 0.010%

    No Known Activations