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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. 9-RES-JB
    6. 15153
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    INDEX
    Explanations

    mentions of the word "marijuana"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to marijuana and its legalization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stevenson
    -0.83
    semble
    -0.69
    angular
    -0.68
    oise
    -0.68
    echo
    -0.66
     Worcester
    -0.64
    hani
    -0.64
    ciating
    -0.63
    nz
    -0.63
     Dawkins
    -0.63
    POSITIVE LOGITS
     legalization
    1.27
     dispensaries
    1.20
     cultivation
    1.12
     dispensary
    1.08
    arijuana
    1.02
     marijuana
    0.93
     prohibition
    0.92
     metabolites
    0.90
     growers
    0.90
     parap
    0.85
    Activations Density 0.033%

    No Known Activations