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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. 1988
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    Explanations

    the word "think" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "think" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    çĦ
    -0.68
    iations
    -0.63
     Videos
    -0.61
     flats
    -0.59
    Naz
    -0.57
    iona
    -0.56
    Merit
    -0.56
    feeding
    -0.55
     promoters
    -0.55
     variance
    -0.55
    POSITIVE LOGITS
     aloud
    0.94
     about
    0.83
    xiety
    0.81
     ABOUT
    0.81
    cient
    0.79
    onym
    0.78
    ileaks
    0.78
    eteen
    0.78
    fully
    0.74
    onymous
    0.74
    Activations Density 0.063%

    No Known Activations