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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. 7431
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    Explanations

    mentions of public opinion and sentiment in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to public opinion and sentiment

    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
    tein
    -0.95
    auga
    -0.71
    inet
    -0.66
    oret
    -0.64
     git
    -0.64
    aron
    -0.63
     fug
    -0.61
    utan
    -0.58
     Offic
    -0.58
     master
    -0.58
    POSITIVE LOGITS
     polls
    0.88
    SPONSORED
    0.83
     perceptions
    0.82
     surveys
    0.81
    ourcing
    0.80
     aversion
    0.78
     attitudes
    0.77
    Reviewer
    0.75
     ratings
    0.75
    atures
    0.74
    Activations Density 0.204%

    No Known Activations