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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
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    Explanations

    specific name "Tony" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name 'Tony'

    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
    INESS
    -0.73
    Magikarp
    -0.72
    cipline
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.69
    ãĤº
    -0.67
    052
    -0.67
    083
    -0.66
    station
    -0.66
    76561
    -0.66
    090
    -0.66
    POSITIVE LOGITS
     Tony
    1.13
    Tony
    1.00
     Romo
    0.91
     Blair
    0.91
    isable
    0.90
     Abbott
    0.89
    neau
    0.83
    bara
    0.81
    iago
    0.80
    anyahu
    0.78
    Activations Density 0.007%

    No Known Activations