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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. 22008
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    Explanations

    greetings or introductions

    oai_token-act-pair · gpt-3.5-turbo

    instances of greeting or casual salutations

    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
     Awakens
    -0.81
    */(
    -0.78
    )</
    -0.75
     Rebell
    -0.74
     rall
    -0.70
    士
    -0.69
     Twain
    -0.65
     Cove
    -0.62
    parts
    -0.61
    managed
    -0.60
    POSITIVE LOGITS
    yip
    0.85
    earch
    0.84
    Fi
    0.84
    Hi
    0.78
    ya
    0.75
    hey
    0.75
    Bs
    0.74
    ibel
    0.73
    scribe
    0.73
    roy
    0.73
    Activations Density 0.009%

    No Known Activations