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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12817
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    Explanations

    phrases or words related to testing or assessment

    oai_token-act-pair · gpt-3.5-turbo

    references to "test" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.77
    vernment
    -0.75
    ignt
    -0.69
    leans
    -0.68
    taboola
    -0.67
    nect
    -0.64
     Rove
    -0.63
    CLOSE
    -0.62
    jriwal
    -0.61
    SOURCE
    -0.59
    POSITIVE LOGITS
    osterone
    1.49
    imony
    1.46
    imon
    1.16
    icular
    1.16
    icles
    1.10
    udo
    1.08
    icle
    1.05
    ifies
    0.97
    su
    0.89
    aments
    0.87
    Activations Density 0.043%

    No Known Activations