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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. 20123
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    Explanations

    mentions of specific individuals, likely related to sports or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and locations related to events or people in sports

    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
    terday
    -0.96
    itive
    -0.86
    Feed
    -0.78
    udo
    -0.73
     guiActiveUn
    -0.72
    ounds
    -0.72
    itives
    -0.71
    feed
    -0.70
    ĵĺ
    -0.68
    xes
    -0.68
    POSITIVE LOGITS
     Hib
    1.02
    agall
    0.80
    ahime
    0.78
    isc
    0.77
    bledon
    0.76
     Cinderella
    0.73
    cit
    0.72
     Courage
    0.71
     Sakuya
    0.71
    ersen
    0.70
    Activations Density 0.021%

    No Known Activations