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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. 12413
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    Explanations

    phrases related to risky situations or metaphorical language that implies risk

    oai_token-act-pair · gpt-3.5-turbo

    metaphors and idiomatic expressions related to struggles and challenges

    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
    rongh
    -0.85
    azel
    -0.79
    arus
    -0.78
    ãĤ¼ãĤ¦ãĤ¹
    -0.75
    URA
    -0.72
    agar
    -0.71
    alle
    -0.70
    iverpool
    -0.69
    Sky
    -0.69
    ãĤŃ
    -0.69
    POSITIVE LOGITS
     mentality
    1.04
     approach
    1.01
     between
    1.00
     scenario
    0.93
     fallacy
    0.92
     situation
    0.91
     tactic
    0.87
     maneuver
    0.87
     moment
    0.85
     whereby
    0.84
    Activations Density 0.382%

    No Known Activations