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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. 1-RES-JB
    11. 21083
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    Explanations

    locations or entities related to Toronto

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Toronto

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scl
    -0.81
    hard
    -0.78
    holder
    -0.78
    stakes
    -0.76
    hardt
    -0.74
    units
    -0.72
    dates
    -0.71
    student
    -0.71
    reads
    -0.71
    udeb
    -0.70
    POSITIVE LOGITS
    TOR
    1.45
     TOR
    1.05
    onto
    0.93
     rall
    0.90
     earthqu
    0.85
     inhibition
    0.80
    oshenko
    0.80
    pora
    0.79
     tyr
    0.78
    olitics
    0.77
    Activations Density 0.004%

    No Known Activations