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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. 15923
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    Explanations

    years or time periods in a chronological context

    oai_token-act-pair · gpt-3.5-turbo

    specific years or dates mentioned in the text

    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
    Maker
    -0.61
    Mag
    -0.61
     astroph
    -0.55
    Assembly
    -0.55
    ACTION
    -0.54
     suscept
    -0.54
    needed
    -0.53
     chances
    -0.52
    ERY
    -0.52
    Fix
    -0.52
    POSITIVE LOGITS
     onwards
    1.60
     onward
    1.47
     inception
    0.94
     until
    0.87
     till
    0.87
     downwards
    0.80
     through
    0.76
     thru
    0.76
    arten
    0.74
    until
    0.73
    Activations Density 0.085%

    No Known Activations