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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. 9-RES-JB
    11. 16621
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    Explanations

    email-related instructions requesting action from the reader

    oai_token-act-pair · gpt-3.5-turbo

    the word "your" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.74
    apo
    -0.72
     Goes
    -0.70
    itud
    -0.69
    pher
    -0.68
     namely
    -0.67
     Canaver
    -0.66
     except
    -0.63
     Shapiro
    -0.63
    )].
    -0.63
    POSITIVE LOGITS
     own
    1.16
     favourite
    1.08
     favorite
    1.05
     inbox
    0.90
    ocard
    0.85
    anmar
    0.85
     browser
    0.84
    self
    0.83
     choice
    0.83
     subscription
    0.83
    Activations Density 0.092%

    No Known Activations