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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. 11414
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    Explanations

    phrases where someone is discussing or emphasizing the action they or someone else must take

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of taking action or fulfilling responsibilities

    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
    uttering
    -0.70
     Cong
    -0.66
    por
    -0.64
    enberg
    -0.60
     Interior
    -0.60
    ature
    -0.60
     Surge
    -0.59
     Yards
    -0.58
    Cong
    -0.57
    lining
    -0.57
    POSITIVE LOGITS
    soever
    1.31
     happens
    1.16
     happened
    1.05
     mattered
    0.89
     else
    0.81
    Downloadha
    0.77
     kinds
    0.77
     amounted
    0.77
     occurs
    0.76
     inspires
    0.76
    Activations Density 0.079%

    No Known Activations