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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. 9-RES-JB
    11. 5306
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    Explanations

    short instances of phrases containing the word "glimpse"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate insight or brief views into subjects or situations

    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
    die
    -0.79
    erto
    -0.68
    ansom
    -0.65
    qv
    -0.63
    iction
    -0.62
    CSS
    -0.61
     Balanced
    -0.61
    prus
    -0.60
    ilib
    -0.60
    requ
    -0.58
    POSITIVE LOGITS
    seeing
    1.03
     glimps
    1.00
     glimpse
    0.93
    lights
    0.91
     peek
    0.84
     largeDownload
    0.79
    behind
    0.78
     into
    0.77
     inside
    0.76
     Into
    0.76
    Activations Density 0.069%

    No Known Activations