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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. 8984
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    Explanations

    names of speculative places or people likely in a singular or proper noun format

    oai_token-act-pair · gpt-3.5-turbo

    words related to geographical locations or entities

    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
    ======
    -0.88
    ãĤµ
    -0.84
    ãĥīãĥ©ãĤ´ãĥ³
    -0.79
    ãĥ³ãĤ¸
    -0.77
    ãĥ¼ãĥ³
    -0.77
    Shar
    -0.75
    ãĥīãĥ©
    -0.73
    kson
    -0.73
    jriwal
    -0.70
    ttle
    -0.70
    POSITIVE LOGITS
    ragon
    0.97
    ering
    0.96
    rive
    0.90
    orf
    0.90
    rawn
    0.89
    erer
    0.86
    ition
    0.84
    erm
    0.84
    iverse
    0.84
    isl
    0.83
    Activations Density 0.016%

    No Known Activations