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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. 9-RES-JB
    11. 17522
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    Explanations

    positive and negative reactions or feedback

    oai_token-act-pair · gpt-3.5-turbo

    terms related to feedback and reception of media and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sac
    -0.67
     bis
    -0.67
    insert
    -0.66
    Plan
    -0.64
    ondo
    -0.64
     burg
    -0.62
     calculus
    -0.61
    bis
    -0.61
     tripod
    -0.61
    tnc
    -0.59
    POSITIVE LOGITS
     reactions
    0.85
    Reviewer
    0.81
    soType
    0.81
     Rated
    0.81
    lash
    0.81
     acclaim
    0.81
     enthusiastically
    0.78
     backlash
    0.77
     greeted
    0.77
     reviewers
    0.76
    Activations Density 0.275%

    No Known Activations