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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. 4-RES-JB
    11. 19546
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    Explanations

    locations or establishments related to social gatherings or commerce, particularly focusing on coffee shops and gas stations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of shops and stores, particularly coffee shops and gas stations

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

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.76
    BIT
    -0.69
    ãģĦ
    -0.68
    NetMessage
    -0.63
    imm
    -0.62
    HK
    -0.61
     Cloud
    -0.59
    olution
    -0.59
    OVER
    -0.59
    irements
    -0.58
    POSITIVE LOGITS
    culosis
    0.85
     attendant
    0.81
     attendants
    0.80
    stead
    0.78
     Tycoon
    0.72
     frequ
    0.71
     brawl
    0.66
    acle
    0.65
    izen
    0.63
    ateurs
    0.62
    Activations Density 0.178%

    No Known Activations