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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. 4-RES-JB
    11. 14499
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    Explanations

    words related to tracking or monitoring activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to monitoring or keeping record of activities or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acco
    -0.67
    vette
    -0.64
    urt
    -0.63
    Sov
    -0.62
    aples
    -0.60
    osi
    -0.59
    abwe
    -0.58
     rav
    -0.58
    endiary
    -0.58
    inals
    -0.58
    POSITIVE LOGITS
    illance
    0.90
     tracks
    0.88
     Tracks
    0.85
    suit
    0.82
    track
    0.79
     track
    0.79
    record
    0.78
    pad
    0.77
    masters
    0.77
    suits
    0.75
    Activations Density 0.015%

    No Known Activations