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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. 12997
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    Explanations

    references to the frequency or manner in which something is used

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the frequency or amount of use

    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
    inosaur
    -0.77
    tell
    -0.70
    hair
    -0.65
    meat
    -0.64
     Barg
    -0.62
     naked
    -0.62
    bitious
    -0.60
     Drac
    -0.60
     Kore
    -0.59
    abella
    -0.59
    POSITIVE LOGITS
     habits
    0.95
    ername
    0.92
    iences
    0.84
     patterns
    0.75
    ickr
    0.72
     interfaces
    0.71
    ately
    0.70
    notations
    0.70
    TOP
    0.67
    fulness
    0.66
    Activations Density 0.021%

    No Known Activations