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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. 5-RES-JB
    6. 6337
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    oai_token-act-pair · gpt-3.5-turbo

    specific titles, names, or proper nouns related to various media and academic works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )</
    -0.79
    ividual
    -0.72
     rush
    -0.72
    ------------------------------------------------
    -0.70
     aisle
    -0.68
    ++++++++++++++++
    -0.67
    âĹ¼
    -0.66
    vironment
    -0.65
    )/
    -0.65
     carrier
    -0.65
    POSITIVE LOGITS
     Golf
    0.78
    Obj
    0.67
     Travels
    0.66
    Keys
    0.65
    Charlie
    0.65
    Bad
    0.65
    OTOS
    0.65
    metadata
    0.64
    Forward
    0.64
     Byte
    0.63
    Activations Density 0.392%

    No Known Activations