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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. 9-RES-JB
    11. 24124
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    Explanations

    proper nouns or technical terms related to the word "win"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "Win 2"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     populated
    -0.67
     warr
    -0.63
     gravity
    -0.63
     pree
    -0.59
     reservations
    -0.59
    ngth
    -0.58
    >[
    -0.58
    gencies
    -0.58
     Warfare
    -0.57
     unchanged
    -0.57
    POSITIVE LOGITS
    throp
    1.26
    ners
    1.25
    nings
    1.17
    frey
    1.13
    now
    1.03
    emaker
    1.02
    fred
    1.00
    ston
    0.97
    ning
    0.95
    ces
    0.94
    Activations Density 0.040%

    No Known Activations