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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. 795
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    Explanations

    personal preferences or choices expressed in a collective context

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that relate to collective identity and decision-making

    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
     nowhere
    -0.70
    nothing
    -0.68
     Nothing
    -0.63
    teness
    -0.60
    gone
    -0.57
     nothing
    -0.56
    esy
    -0.56
    Nothing
    -0.55
     Slowly
    -0.54
    sie
    -0.53
    POSITIVE LOGITS
     should
    1.60
    should
    1.55
     ought
    1.45
     SHOULD
    1.40
    Should
    1.31
     Should
    1.18
     deserved
    1.01
     would
    0.99
     shouldn
    0.97
     deserves
    0.93
    Activations Density 0.453%

    No Known Activations