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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. 23152
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    Explanations

    references to source material or code

    oai_token-act-pair · gpt-3.5-turbo

    references to various sources of information or materials

    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
    achine
    -0.69
    eer
    -0.68
    wagen
    -0.64
    ornings
    -0.62
    eg
    -0.61
    interstitial
    -0.61
    ecause
    -0.60
    aeper
    -0.60
    jriwal
    -0.59
    eneg
    -0.59
    POSITIVE LOGITS
    forge
    1.09
    book
    0.99
    books
    0.97
     material
    0.94
     code
    0.93
    Fed
    0.86
    Forge
    0.86
     CODE
    0.85
    kit
    0.83
    finder
    0.82
    Activations Density 0.039%

    No Known Activations