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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. 6-RES-JB
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    Explanations

    mentions of the location "Penn"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Penn" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.73
     Malays
    -0.64
     cerebral
    -0.63
    âĹ¼
    -0.62
     balloons
    -0.62
    eering
    -0.61
     Norn
    -0.61
    âĢķ
    -0.60
    semble
    -0.59
     willful
    -0.58
    POSITIVE LOGITS
    sylv
    1.52
    sylvania
    1.43
    iless
    1.10
    insula
    1.05
    essee
    0.94
    sat
    0.93
    sburg
    0.85
    olini
    0.83
     Penn
    0.83
    esse
    0.82
    Activations Density 0.015%

    No Known Activations