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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. 7544
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    Explanations

    names related to specific settings or locations, particularly "loft" and "pri" prefixes

    oai_token-act-pair · gpt-3.5-turbo

    references to prizes and lofts as well as actions related to retracting or withdrawing something

    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
    ading
    -0.66
     Medina
    -0.66
    ption
    -0.65
    uncture
    -0.65
    annis
    -0.64
    aders
    -0.63
    uberty
    -0.63
     Cabrera
    -0.62
    aii
    -0.62
     Palin
    -0.61
    POSITIVE LOGITS
    sonian
    1.12
     pri
    1.01
    imore
    0.84
    orem
    0.81
    éĸ
    0.74
    entimes
    0.73
     loft
    0.73
    imon
    0.72
    acular
    0.72
     tradem
    0.71
    Activations Density 0.017%

    No Known Activations