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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. 7-RES-JB
    11. 24559
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    Explanations

    statistical data and values

    oai_token-act-pair · gpt-3.5-turbo

    statistical terms and data presentations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    unks
    -0.67
     citiz
    -0.66
    ongh
    -0.65
    proof
    -0.65
    ongs
    -0.65
    Sounds
    -0.61
     Must
    -0.61
    oul
    -0.60
    gra
    -0.60
     Toast
    -0.60
    POSITIVE LOGITS
    âĪĴ
    0.82
     âĪĴ
    0.76
     observed
    0.74
    rontal
    0.73
     estimate
    0.72
    mberg
    0.72
     μ
    0.68
    igham
    0.67
    OVA
    0.66
    Figure
    0.66
    Activations Density 0.072%

    No Known Activations