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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21005
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    INDEX
    Explanations

    phrases related to actions or events taking place

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize ongoing actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.75
    Marg
    -0.74
    brance
    -0.69
    marine
    -0.66
    mpire
    -0.63
    APE
    -0.63
    Tree
    -0.62
    alon
    -0.62
    Semitism
    -0.60
    fleet
    -0.60
    POSITIVE LOGITS
     technically
    0.64
    HOU
    0.61
     launching
    0.59
     syll
    0.57
     launch
    0.56
     disbel
    0.55
     launchers
    0.55
     initially
    0.54
    cknowled
    0.53
     sounds
    0.53
    Activations Density 0.900%

    No Known Activations