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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. 1-RES-JB
    6. 11200
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    Explanations

    mentions or references to malt in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to malt and its various types and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kaw
    -0.80
    ockets
    -0.79
    AMS
    -0.72
    hips
    -0.71
    enhagen
    -0.71
     FANTASY
    -0.70
     Tyson
    -0.69
    ITED
    -0.69
    ©¶æ
    -0.69
    lihood
    -0.69
    POSITIVE LOGITS
    reatment
    1.31
     Malt
    1.19
     malt
    1.08
    reated
    1.06
    ghazi
    0.97
    ophon
    0.95
     whisky
    0.95
    ese
    0.85
    itol
    0.81
    isol
    0.81
    Activations Density 0.008%

    No Known Activations