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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. 4915
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    Explanations

    names of people, possibly related to a production or event

    oai_token-act-pair · gpt-3.5-turbo

    names of people and proper nouns

    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
     occasion
    -0.73
     deaf
    -0.65
     Debor
    -0.62
     Gree
    -0.62
    sth
    -0.58
    cffff
    -0.58
    hillary
    -0.57
    demand
    -0.57
    figure
    -0.56
     Dru
    -0.56
    POSITIVE LOGITS
     guiName
    0.81
     Appears
    0.75
     Presents
    0.74
     vs
    0.73
     guiActiveUn
    0.72
    Jr
    0.72
     Vs
    0.70
    iller
    0.68
    Discuss
    0.68
    OVA
    0.68
    Activations Density 0.167%

    No Known Activations