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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. 8-RES-JB
    11. 7742
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    Explanations

    words related to positive experiences or actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enjoyment or leisure activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     destro
    -0.78
     suspic
    -0.76
     nomine
    -0.73
    ©¶æ
    -0.72
     Azerb
    -0.71
     millenn
    -0.66
     myster
    -0.66
     [[
    -0.63
    ģĸ
    -0.61
     corrid
    -0.61
    POSITIVE LOGITS
     alike
    0.97
    axter
    0.74
    bones
    0.71
    ãĥ¥
    0.70
     versa
    0.70
    bur
    0.70
    ':
    0.69
    pt
    0.66
    atten
    0.64
    eele
    0.62
    Activations Density 0.528%

    No Known Activations