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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. 3537
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    Explanations

    phrases related to the goals or objectives of various organizations or projects

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate objectives or goals of various entities or projects

    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
     Solitaire
    -0.87
    Pass
    -0.79
    Usage
    -0.76
    Rare
    -0.73
    SPONSORED
    -0.72
    Rush
    -0.71
    Studies
    -0.70
    Ther
    -0.69
    Viol
    -0.69
    Wr
    -0.67
    POSITIVE LOGITS
    emouth
    0.98
     aims
    0.85
    atory
    0.84
    sonian
    0.80
     aim
    0.78
    lessly
    0.78
     aimed
    0.76
    omething
    0.76
     aiming
    0.75
    chwitz
    0.75
    Activations Density 0.014%

    No Known Activations