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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. 10-RES-JB
    11. 12596
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    Explanations

    words related to fitting or compatibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fitting or aligning with various criteria or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cember
    -0.71
    icide
    -0.69
    onna
    -0.65
    icidal
    -0.63
    yard
    -0.63
    awn
    -0.62
     tending
    -0.58
    ermanent
    -0.58
    TY
    -0.58
    EED
    -0.56
    POSITIVE LOGITS
     snug
    1.20
     into
    1.14
     neatly
    1.12
     perfectly
    1.00
     squarely
    0.95
     nicely
    0.94
     seamlessly
    0.93
     onto
    0.93
     comfortably
    0.92
     precon
    0.83
    Activations Density 0.053%

    No Known Activations