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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. 3-RES-JB
    6. 22139
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    Explanations

    verbs or phrases relating to analysis, definition, or description

    oai_token-act-pair · gpt-3.5-turbo

    action-oriented verbs and descriptors related to processes or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jah
    -0.67
    along
    -0.66
    amen
    -0.63
    HQ
    -0.63
    hillary
    -0.62
    asi
    -0.60
    Stream
    -0.58
    igers
    -0.58
    CHAT
    -0.57
    atro
    -0.57
    POSITIVE LOGITS
    Initialized
    0.82
    isable
    0.76
    iated
    0.70
    ifiable
    0.68
    aneously
    0.66
     è£ıç
    0.66
     thous
    0.66
    abal
    0.64
     (<
    0.63
     dracon
    0.63
    Activations Density 0.659%

    No Known Activations