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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. 1-RES-JB
    11. 5474
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    Explanations

    proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fixme
    -0.69
     pointer
    -0.67
     lux
    -0.63
     unfocusedRange
    -0.63
    POS
    -0.62
     cluster
    -0.61
    Row
    -0.61
    CAP
    -0.61
    Domin
    -0.60
     Westminster
    -0.59
    POSITIVE LOGITS
    ogan
    1.16
    gery
    0.98
    oglu
    0.94
    culosis
    0.93
    ovic
    0.87
    jriwal
    0.85
    gers
    0.84
    zag
    0.84
    oad
    0.84
    interstitial
    0.83
    Activations Density 0.005%

    No Known Activations