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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. 8-RES-JB
    11. 14321
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    Explanations

    phrases related to ongoing actions or persistence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to persistence or continued action

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ode
    -0.78
    ooter
    -0.71
    NESS
    -0.70
    iliary
    -0.67
    atana
    -0.66
    acus
    -0.66
     GOODMAN
    -0.64
    osion
    -0.64
    KEN
    -0.64
    KY
    -0.64
    POSITIVE LOGITS
     tabs
    1.20
     track
    0.99
     secrets
    0.99
     pace
    0.96
     afloat
    0.94
     vigil
    0.81
     secret
    0.80
     kosher
    0.79
     alive
    0.78
     quiet
    0.76
    Activations Density 0.044%

    No Known Activations