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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. 7-RES-JB
    11. 3995
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    INDEX
    Explanations

    mentions of the word "Chef"

    oai_token-act-pair · gpt-3.5-turbo

    references to chefs and culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ************
    -0.95
    ividual
    -0.85
    esville
    -0.85
     Mehran
    -0.83
    ously
    -0.79
    ive
    -0.79
    iard
    -0.78
     Leilan
    -0.72
    iation
    -0.72
    osaurs
    -0.71
    POSITIVE LOGITS
    acter
    0.78
     chefs
    0.78
     chef
    0.76
    TY
    0.73
    lict
    0.71
    fried
    0.70
     capacitor
    0.67
    fruit
    0.66
    minded
    0.66
    rament
    0.64
    Activations Density 0.081%

    No Known Activations