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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. 4-RES-JB
    6. 18305
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    Explanations

    references to speeches given by various individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "speech."

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

    No Comments

    Negative Logits
    involved
    -0.71
    rome
    -0.59
     Coast
    -0.58
     Trout
    -0.57
     Construct
    -0.56
     exploited
    -0.55
     Soldiers
    -0.54
     Lantern
    -0.54
     saline
    -0.54
     Rover
    -0.54
    POSITIVE LOGITS
    writer
    0.91
    writers
    0.90
     speeches
    0.89
     speech
    0.87
     Speech
    0.83
    speech
    0.82
    writing
    0.78
    heit
    0.78
    boxing
    0.73
    gow
    0.73
    Activations Density 0.038%

    No Known Activations