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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. 2-RES-JB
    11. 23380
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    Explanations

    phrases related to focusing on particular topics or subjects

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "focus" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Cola
    -0.68
    UF
    -0.67
    ©¶æ¥µ
    -0.66
    wine
    -0.62
     ********************************
    -0.60
    OGR
    -0.57
    tun
    -0.56
    LI
    -0.55
    RL
    -0.55
    PLIED
    -0.55
    POSITIVE LOGITS
     behalf
    0.83
    erous
    0.82
    shore
    0.81
     Sundays
    0.76
    ggles
    0.73
     Saturdays
    0.69
    eday
    0.66
    emonic
    0.66
    yx
    0.64
    etime
    0.64
    Activations Density 0.198%

    No Known Activations