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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. 6876
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    Explanations

    words related to recklessness or actions done without care for the consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to recklessness and its consequences

    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
     crest
    -0.71
     Sacramento
    -0.68
     Arabia
    -0.65
    ITED
    -0.63
     Khe
    -0.62
    Pie
    -0.61
     Revolution
    -0.59
     theater
    -0.59
    éĥ
    -0.58
    å¼
    -0.57
    POSITIVE LOGITS
    oning
    1.63
    lessly
    1.55
    lessness
    1.43
    oner
    1.38
    ons
    1.38
    oned
    1.35
    oms
    1.15
    onal
    1.04
    oming
    1.02
    ONS
    1.01
    Activations Density 0.075%

    No Known Activations