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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 8128
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    Explanations

    words related to specific geographical locations or landmarks, particularly focusing on "Kingston"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Monstrous
    -0.69
    roller
    -0.69
    âķIJâķIJ
    -0.68
    ++++++++++++++++
    -0.68
    ering
    -0.67
    ":[
    -0.67
    rollers
    -0.67
    uler
    -0.66
    hetical
    -0.65
    emic
    -0.64
    POSITIVE LOGITS
     Hots
    0.76
     Cheong
    0.71
    ilee
    0.69
     Hes
    0.67
     Luna
    0.66
     Wong
    0.66
     Sung
    0.64
     Lif
    0.63
     Kingston
    0.63
     Cricket
    0.62
    Activations Density 0.098%

    No Known Activations