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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. 2-RES-JB
    11. 15217
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    Explanations

    specific times of day represented in a 12-hour format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific times of day in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Crus
    -0.78
    quished
    -0.68
    vana
    -0.67
    tymology
    -0.65
    xual
    -0.65
    rities
    -0.64
    lez
    -0.63
    leans
    -0.63
    gotten
    -0.62
     Palestin
    -0.61
    POSITIVE LOGITS
     pm
    1.10
     EDT
    1.00
    essage
    1.00
    ueller
    0.97
     EST
    0.88
    pm
    0.87
    PM
    0.85
    issions
    0.83
    endment
    0.81
     ILCS
    0.80
    Activations Density 0.006%

    No Known Activations