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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. 7-RES-JB
    6. 24226
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    Explanations

    the word "am" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    the word "am" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aver
    -0.72
     takeaway
    -0.69
    DragonMagazine
    -0.69
    ttes
    -0.68
     Alley
    -0.67
     learners
    -0.66
    EStreamFrame
    -0.61
     Regions
    -0.61
     stakes
    -0.60
     concession
    -0.60
    POSITIVE LOGITS
    sterdam
    1.26
    ethyst
    1.21
    azon
    1.19
    ajor
    1.14
    endment
    1.11
    essage
    1.03
    assing
    1.01
    ateurs
    1.00
    nesty
    0.97
    ilies
    0.97
    Activations Density 0.031%

    No Known Activations