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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. 8646
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    Explanations

    references to individuals in temporary or role-specific leadership positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "acting" and its variations in various contexts

    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
    xual
    -0.83
    ilings
    -0.69
     Blackwell
    -0.66
    joy
    -0.65
    nda
    -0.64
    front
    -0.64
     Sovere
    -0.64
    ciating
    -0.63
    fore
    -0.61
    fac
    -0.61
    POSITIVE LOGITS
    uary
    0.97
    uate
    0.84
    iott
    0.80
    inic
    0.79
    uated
    0.78
    uations
    0.78
    icter
    0.75
    ional
    0.75
    ives
    0.72
    uka
    0.69
    Activations Density 0.016%

    No Known Activations