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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. 2-RES-JB
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    Explanations

    instances of the word "tower"

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of towers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dit
    -0.84
     Lives
    -0.78
    ãĤ±
    -0.76
     Petr
    -0.70
    esville
    -0.69
    furt
    -0.68
     Snap
    -0.68
     Ago
    -0.67
     Granger
    -0.67
    lyak
    -0.66
    POSITIVE LOGITS
     tower
    1.33
     towers
    1.25
    tower
    1.12
     Towers
    1.06
     Tower
    0.90
     skysc
    0.86
     heights
    0.81
     erected
    0.74
    pole
    0.72
    raper
    0.72
    Activations Density 0.004%

    No Known Activations