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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14090
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    Explanations

    the phrase "What's" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    instances of possessive words ending in an apostrophe followed by the letter 's'

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    roit
    -0.66
    cember
    -0.65
    vale
    -0.64
    IDS
    -0.62
    rative
    -0.60
    FORE
    -0.59
    phe
    -0.59
     Torrent
    -0.58
    complete
    -0.57
    cknow
    -0.57
    POSITIVE LOGITS
     been
    1.17
     gotta
    1.15
     gonna
    1.12
     gotten
    1.02
    been
    1.02
     Been
    0.99
     got
    0.95
     happened
    0.94
     gone
    0.90
     arisen
    0.75
    Activations Density 0.041%

    No Known Activations