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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. 2447
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    Explanations

    phrases related to different episodes or parts of a series

    oai_token-act-pair · gpt-3.5-turbo

    references to specific episodes in a series

    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
    FUL
    -0.92
    LESS
    -0.82
    ãĥīãĥ©ãĤ´ãĥ³
    -0.73
    IFIC
    -0.71
    WAYS
    -0.70
     Rid
    -0.66
     Pathfinder
    -0.66
    ^^^^
    -0.66
    hips
    -0.66
    CLASSIFIED
    -0.65
    POSITIVE LOGITS
    iphany
    1.25
    isodes
    1.25
    hemer
    1.15
    istle
    1.13
    iscopal
    1.06
    igen
    0.99
    och
    0.93
    idem
    0.92
    oton
    0.92
    iph
    0.90
    Activations Density 0.009%

    No Known Activations