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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. 7-RES-JB
    11. 14039
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    Explanations

    phrases related to messages or perspectives being conveyed

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant or impactful events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    è£ħ
    -0.75
    uckland
    -0.73
    anwhile
    -0.71
    ounter
    -0.69
     shack
    -0.67
    conservancy
    -0.64
     touches
    -0.63
     reception
    -0.62
     minim
    -0.62
     dispers
    -0.61
    POSITIVE LOGITS
    ¡
    1.13
    ¦
    1.05
    £
    1.03
    ¥
    1.02
    Ŀ
    1.02
    º
    0.98
    ¤
    0.97
    ĺ
    0.97
    Ĵ
    0.97
    Ĩ
    0.93
    Activations Density 0.204%

    No Known Activations