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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. 8-RES-JB
    6. 5268
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    Explanations

    phrases indicating additional information or details

    oai_token-act-pair · gpt-3.5-turbo

    references to updates and additional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isa
    -0.65
    gall
    -0.65
    soever
    -0.64
     Murd
    -0.61
    pires
    -0.61
    imaru
    -0.60
    conn
    -0.59
     Steal
    -0.58
     inval
    -0.58
     testified
    -0.58
    POSITIVE LOGITS
     sake
    0.86
     details
    0.84
     explanation
    0.83
     specifics
    0.77
    ummies
    0.75
    .):
    0.73
     purposes
    0.73
     clarification
    0.72
     inspiration
    0.71
     reasons
    0.70
    Activations Density 0.239%

    No Known Activations