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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. 16675
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    Explanations

    items or concepts related to different themes or topics, such as "Splinter," "Snarky," or "Suburban Sprawl."

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to specific character names or distinctive descriptors in a narrative context

    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
     surpr
    -0.66
    insula
    -0.66
     womb
    -0.65
     faint
    -0.63
     seiz
    -0.62
     exha
    -0.62
     lapse
    -0.62
    querque
    -0.61
    etheless
    -0.61
    istration
    -0.60
    POSITIVE LOGITS
    yp
    0.77
    interstitial
    0.76
    roid
    0.76
    dot
    0.74
    puff
    0.74
    lator
    0.73
    pants
    0.72
    lings
    0.71
    fully
    0.70
    ful
    0.70
    Activations Density 0.433%

    No Known Activations