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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. 6-RES-JB
    6. 16344
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    Explanations

    negations combined with specific locations or contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating exceptions or limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omas
    -0.68
    icides
    -0.67
    bath
    -0.66
    shown
    -0.65
    ihar
    -0.62
    icide
    -0.61
    inea
    -0.61
    inus
    -0.59
    ao
    -0.59
    ubi
    -0.58
    POSITIVE LOGITS
    vous
    0.66
    ecast
    0.63
    hap
    0.62
     Admir
    0.61
    atican
    0.59
     ones
    0.58
    former
    0.58
    owitz
    0.58
    wives
    0.57
     part
    0.56
    Activations Density 0.062%

    No Known Activations