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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. 1-RES-JB
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    Explanations

    the name "Dan" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the name "Dan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.80
    ĺħ
    -0.68
     accumulating
    -0.68
    packing
    -0.68
     srf
    -0.67
    ¥ŀ
    -0.67
    gettable
    -0.66
     urgency
    -0.66
     conspicuous
    -0.66
     embodied
    -0.65
    POSITIVE LOGITS
    Dan
    0.98
    forth
    0.98
    zig
    0.96
    olver
    0.93
     Marino
    0.91
    rones
    0.87
    eman
    0.87
    pak
    0.86
     Dan
    0.86
     Gilbert
    0.86
    Activations Density 0.005%

    No Known Activations