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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    the verb "kept" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the verbs "keep" and "kept."

    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
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    Negative Logits
    KEN
    -0.70
    atana
    -0.70
    acus
    -0.69
    externalActionCode
    -0.68
    ode
    -0.67
    ooter
    -0.67
    ointed
    -0.65
    KY
    -0.64
    iliary
    -0.63
    IOR
    -0.62
    POSITIVE LOGITS
     tabs
    1.14
     secrets
    0.95
     track
    0.94
     pace
    0.93
     afloat
    0.92
     vigil
    0.85
     secret
    0.78
    tracks
    0.75
     kosher
    0.74
     quiet
    0.74
    Activations Density 0.045%

    No Known Activations