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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
    11. 14837
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentages

    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
     skelet
    -0.65
     Constantin
    -0.61
    oÄŁ
    -0.61
     suspic
    -0.60
     ported
    -0.58
     patriarch
    -0.57
     Diet
    -0.57
    ©¶æ
    -0.57
     therap
    -0.56
     styled
    -0.55
    POSITIVE LOGITS
    ooters
    1.07
    ihilation
    0.91
    iversary
    0.85
    iewicz
    0.80
    akespeare
    0.79
    ulty
    0.76
    ordable
    0.75
    ilibrium
    0.74
    oola
    0.74
    ibrary
    0.74
    Activations Density 0.038%

    No Known Activations