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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. 11139
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    Explanations

    distances or measurements typically represented in miles

    oai_token-act-pair · gpt-3.5-turbo

    references to distances or measurements in miles

    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
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    No Comments

    Negative Logits
    eer
    -0.84
    alien
    -0.72
    eers
    -0.67
    gotten
    -0.66
    ãĥ¤
    -0.64
     Suc
    -0.64
    istry
    -0.63
    icer
    -0.62
    icious
    -0.61
    olith
    -0.61
    POSITIVE LOGITS
     traveled
    0.91
     kilometers
    0.91
     kilometres
    0.87
     km
    0.85
    bike
    0.85
     radius
    0.83
     travelled
    0.82
    km
    0.81
     miles
    0.79
     circumference
    0.77
    Activations Density 0.039%

    No Known Activations