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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. 11-RES-JB
    11. 13121
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    Explanations

    full names of individuals in specific contexts or discussions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jelly
    -0.78
    FACE
    -0.65
    Reply
    -0.63
     contrad
    -0.62
    uthor
    -0.58
     Jury
    -0.56
    POSE
    -0.55
     Loll
    -0.55
     Tanzania
    -0.54
     Yug
    -0.54
    POSITIVE LOGITS
    furt
    0.86
     sidx
    0.75
    inki
    0.73
    owder
    0.71
    ope
    0.67
    iffin
    0.66
    obal
    0.65
    ogenesis
    0.65
    rigan
    0.65
    ãĥ¼ãĥĨ
    0.63
    Activations Density 0.262%

    No Known Activations