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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 2949
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     apologies
    -0.76
     juggling
    -0.74
     Blacks
    -0.70
     Fake
    -0.69
     highs
    -0.66
     DEAD
    -0.65
     lousy
    -0.64
     captcha
    -0.63
     disgruntled
    -0.63
     Crunch
    -0.63
    POSITIVE LOGITS
    oute
    1.10
    ela
    1.05
    rive
    1.04
    ule
    1.03
    resp
    1.02
    iel
    1.01
    ierre
    1.00
    otta
    0.99
    ô
    0.98
    ulum
    0.98
    Activations Density 0.020%

    No Known Activations