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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. 3-RES-JB
    11. 23743
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.72
    emetery
    -0.70
    scope
    -0.67
     Rising
    -0.66
     lookout
    -0.65
     Skydragon
    -0.65
    benefit
    -0.64
    =~=~
    -0.63
     rift
    -0.62
    rd
    -0.62
    POSITIVE LOGITS
     uttered
    1.16
     aloud
    1.05
     phrases
    1.03
     phrase
    0.98
     narration
    0.93
     phr
    0.91
     paraph
    0.87
    phrase
    0.85
     quote
    0.84
    terday
    0.84
    Activations Density 0.226%

    No Known Activations