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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. 2967
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    Explanations

    numerical expressions indicating repetition or continuity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating consecutive events or repetitions

    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
    merce
    -0.95
     streng
    -0.78
    ufact
    -0.77
    urated
    -0.74
    ascript
    -0.74
    ãĥ¤
    -0.73
    urate
    -0.71
    omorphic
    -0.70
     embody
    -0.68
     incorporation
    -0.67
    POSITIVE LOGITS
    dy
    1.23
    dies
    1.14
     row
    0.93
    cars
    0.83
    boat
    0.81
    Room
    0.79
    Bre
    0.74
    bean
    0.74
     rows
    0.73
    er
    0.72
    Activations Density 0.005%

    No Known Activations