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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. 12324
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    Explanations

    phrases related to routine actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to habits and repetitive behaviors

    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
    ramid
    -0.81
     SAR
    -0.76
    cross
    -0.73
    ndum
    -0.72
    ammy
    -0.70
    headers
    -0.69
     RIS
    -0.63
    mberg
    -0.62
    udder
    -0.61
     wheelchair
    -0.61
    POSITIVE LOGITS
    uated
    1.14
    ually
    1.13
     habit
    1.10
    uation
    1.04
    uate
    1.01
     habits
    0.95
    uates
    0.87
    uating
    0.85
    iliar
    0.69
    ability
    0.69
    Activations Density 0.009%

    No Known Activations