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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. 3-RES-JB
    11. 18202
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    Explanations

    words related to hot locations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "hotbeds" and temperature extremes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è£
    -0.97
    actionDate
    -0.88
    ħĭ
    -0.87
    ãĤ¤ãĥĪ
    -0.77
    £ı
    -0.77
     Cosponsors
    -0.76
    Own
    -0.76
    ij士
    -0.75
    FN
    -0.75
    matically
    -0.75
    POSITIVE LOGITS
     haze
    0.87
     humid
    0.86
     humidity
    0.81
     lakes
    0.76
     thirsty
    0.74
     pollen
    0.74
     tropical
    0.72
     thirst
    0.71
     winds
    0.70
     gravel
    0.69
    Activations Density 0.788%

    No Known Activations