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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. 3-RES-JB
    11. 12859
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    Explanations

    words related to repeated actions or behaviors, especially those that may be harmful or require change

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cross
    -0.71
     SAR
    -0.71
    amen
    -0.69
    INAL
    -0.62
    minent
    -0.61
    ndum
    -0.61
     Galile
    -0.61
    aman
    -0.61
    ammy
    -0.61
    ILLE
    -0.60
    POSITIVE LOGITS
     habits
    1.30
    uation
    0.87
     behaviours
    0.83
    uated
    0.80
     behaviors
    0.79
     patterns
    0.77
    uits
    0.76
    uate
    0.75
    pring
    0.75
    oleon
    0.72
    Activations Density 0.009%

    No Known Activations