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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. 1-RES-JB
    6. 11123
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    Explanations

    references to the word "odor."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of odors

    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
    peak
    -0.74
     notch
    -0.66
    ced
    -0.61
     secrecy
    -0.60
     Peaks
    -0.60
     trust
    -0.60
     selected
    -0.59
     pasture
    -0.58
    Hay
    -0.57
     transparency
    -0.57
    POSITIVE LOGITS
    odor
    1.62
    owsky
    1.06
    inator
    1.04
    inators
    1.01
    ovy
    0.91
    opoulos
    0.91
    ovic
    0.90
    oslav
    0.89
    atus
    0.87
    olph
    0.86
    Activations Density 0.008%

    No Known Activations