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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. 3-RES-JB
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    Explanations

    references to the action of boarding or being prevented from boarding something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "boarding" and its variations in contexts related to travel or entry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icity
    -0.92
    ifer
    -0.88
    tymology
    -0.82
    encers
    -0.77
    lly
    -0.77
    natureconservancy
    -0.74
    ensional
    -0.72
    nant
    -0.70
    eanor
    -0.70
    vernment
    -0.68
    POSITIVE LOGITS
     boarding
    1.32
    boarding
    0.92
    folios
    0.82
    otle
    0.80
    house
    0.80
    houses
    0.80
    ĵĺ
    0.79
    board
    0.79
    wal
    0.78
    hurst
    0.77
    Activations Density 0.008%

    No Known Activations