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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the city of Tampa

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Tampa and its associated sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.88
    places
    -0.81
    Ô
    -0.79
    naire
    -0.76
    Ü
    -0.74
    ICLE
    -0.72
    onies
    -0.69
     ASC
    -0.68
    grading
    -0.68
    naires
    -0.67
    POSITIVE LOGITS
     Bay
    1.22
     Tribune
    1.01
     Tampa
    1.01
    pole
    0.96
     Buccaneers
    0.87
    ignt
    0.86
     bay
    0.85
    Bay
    0.80
     Bucs
    0.79
     Rays
    0.76
    Activations Density 0.006%

    No Known Activations