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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. 1-RES-JB
    11. 7282
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to locations and movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.94
     disguise
    -0.66
    avez
    -0.66
     concentration
    -0.64
     concentrate
    -0.63
     mechanic
    -0.62
     barrage
    -0.62
     crawl
    -0.62
     focus
    -0.61
     ignorance
    -0.60
    POSITIVE LOGITS
    iency
    0.95
    estamp
    0.93
    es
    0.92
    gemony
    0.90
    les
    0.89
    itar
    0.88
    ername
    0.88
    atile
    0.86
    ley
    0.85
    itarian
    0.84
    Activations Density 0.024%

    No Known Activations