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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8231
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    Explanations

    references to limitations or restricted quantities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashington
    -0.77
    Ranked
    -0.76
    thus
    -0.69
    went
    -0.67
    Phoenix
    -0.67
    Gener
    -0.67
    Oak
    -0.65
    rex
    -0.65
    CENT
    -0.65
    ilon
    -0.64
    POSITIVE LOGITS
     exceptions
    0.82
    limited
    0.82
     restricts
    0.81
     amounts
    0.81
     collateral
    0.79
    inous
    0.76
     satell
    0.75
     minded
    0.75
     warr
    0.74
     limited
    0.74
    Activations Density 0.018%

    No Known Activations