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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. 0-RES-JB
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    Explanations

    references to the acronym "HT."

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific organization or entity represented by "HT."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Solomon
    -0.67
     Paula
    -0.67
     divest
    -0.66
     vacancy
    -0.64
     compet
    -0.63
     intimid
    -0.63
     Sol
    -0.62
     disappear
    -0.62
     demol
    -0.62
     Rwanda
    -0.61
    POSITIVE LOGITS
    HT
    4.61
     HT
    1.72
    ht
    1.64
    HS
    1.60
    HL
    1.54
    HTTP
    1.46
    HE
    1.39
    HA
    1.38
    HD
    1.23
    HC
    1.23
    Activations Density 0.010%

    No Known Activations