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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. 18844
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    Explanations

    words or parts of words ending in "sel" followed by a number that corresponds to the strength of the activation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sel" in various contexts or forms

    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
    merce
    -0.76
    ISC
    -0.75
    ¥ŀ
    -0.70
    uracy
    -0.67
    ipolar
    -0.66
    rica
    -0.65
    PDATE
    -0.65
    ISO
    -0.63
     accrued
    -0.62
    vernment
    -0.62
    POSITIVE LOGITS
    witz
    1.05
    enger
    1.00
    mann
    0.97
    ength
    0.95
    aer
    0.94
    arin
    0.88
    atan
    0.87
    horn
    0.87
    beck
    0.86
    hammer
    0.85
    Activations Density 0.022%

    No Known Activations