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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. 7-RES-JB
    11. 18016
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    Explanations

    references to things or actions being done under a specific concept or group

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uria
    -0.74
     ahead
    -0.67
    iquid
    -0.64
    atoon
    -0.64
     outweigh
    -0.62
    ument
    -0.61
    ecided
    -0.61
     Bulgar
    -0.60
    behind
    -0.59
     greeted
    -0.58
    POSITIVE LOGITS
     guise
    1.14
     ausp
    1.13
     assumption
    0.94
     microscope
    0.91
    ĵĺ
    0.90
     jurisdiction
    0.83
     umbrella
    0.82
     supervision
    0.82
     mistaken
    0.80
     Radar
    0.78
    Activations Density 0.068%

    No Known Activations