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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. 8-RES-JB
    11. 5067
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    Explanations

    phrases related to thinking or considering something

    oai_token-act-pair · gpt-3.5-turbo

    repeated expressions of contemplation or consideration about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owed
    -0.85
    ante
    -0.74
    ths
    -0.73
    mouth
    -0.69
    owe
    -0.68
    stead
    -0.68
    waters
    -0.65
    SUP
    -0.64
    ©¶æ¥µ
    -0.64
    IER
    -0.64
    POSITIVE LOGITS
     hypot
    1.00
     nostalg
    0.95
     aloud
    0.89
     how
    0.89
     whether
    0.80
     remembering
    0.78
     probabilities
    0.75
     why
    0.74
     blowing
    0.73
     Tsukuyomi
    0.72
    Activations Density 0.109%

    No Known Activations