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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. 12421
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    Explanations

    phrases related to taking action or making decisions in response to concerns

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decisions or measures taken in response to situations

    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
    ersion
    -0.70
    inately
    -0.67
    ench
    -0.67
     VIDE
    -0.65
     fascinated
    -0.64
     fame
    -0.63
     mysteries
    -0.63
    gyn
    -0.63
     bloom
    -0.62
     Knot
    -0.61
    POSITIVE LOGITS
     taken
    1.28
     undertaken
    1.17
     against
    1.11
     Taken
    1.01
     measures
    0.99
     ACTIONS
    0.98
     initiated
    0.97
     actions
    0.96
     implemented
    0.93
     aimed
    0.93
    Activations Density 0.185%

    No Known Activations