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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. 8559
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    Explanations

    specific named entities, possibly related to sports or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific titles and named entities in the context of media and entertainment

    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
     hindsight
    -0.62
    pedia
    -0.61
    ruary
    -0.60
    idious
    -0.56
    thood
    -0.55
    reau
    -0.55
     dearly
    -0.55
     embell
    -0.53
     humble
    -0.53
    Bench
    -0.52
    POSITIVE LOGITS
    thirds
    0.67
    oxide
    0.63
     thirds
    0.60
    Ĭ±
    0.58
    ibrary
    0.54
    Temperature
    0.54
     Poles
    0.53
    pole
    0.52
    iste
    0.52
    Occ
    0.51
    Activations Density 1.092%

    No Known Activations