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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. 20037
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    Explanations

    instances of the word "really" in the text

    oai_token-act-pair · gpt-3.5-turbo

    repetition of the word "really" and variations of its emotional emphasis

    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
    ilan
    -0.68
     Participants
    -0.63
     Tickets
    -0.63
    arian
    -0.62
     Awakening
    -0.61
    iful
    -0.61
     Flore
    -0.60
    ERY
    -0.60
    ivalent
    -0.60
    esi
    -0.60
    POSITIVE LOGITS
     ought
    0.98
     appreciate
    0.88
     cared
    0.78
     concentrate
    0.77
    akens
    0.77
     mattered
    0.77
     liked
    0.76
     deserved
    0.74
     appreciated
    0.74
     depends
    0.74
    Activations Density 0.061%

    No Known Activations