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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. 7-RES-JB
    11. 13401
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    Explanations

    phrases related to tracking or monitoring

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to monitoring or keeping record of various items or events

    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
     Pwr
    -0.70
    vette
    -0.60
    Reply
    -0.58
     pand
    -0.58
    osi
    -0.56
     Synd
    -0.56
     Debor
    -0.56
    lication
    -0.55
    iren
    -0.55
    Prime
    -0.55
    POSITIVE LOGITS
    suit
    0.96
    pad
    0.89
    suits
    0.89
     Tracks
    0.85
     track
    0.84
    tracks
    0.83
     tracks
    0.82
    track
    0.82
    record
    0.81
    race
    0.81
    Activations Density 0.019%

    No Known Activations