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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. 7-RES-JB
    11. 11748
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     endeavour
    -0.76
     infinity
    -0.70
     unemployed
    -0.66
     regener
    -0.65
     princ
    -0.65
     aspiration
    -0.64
     magnets
    -0.64
     involuntary
    -0.63
     antidote
    -0.62
     experiment
    -0.61
    POSITIVE LOGITS
    oros
    0.88
    RELATED
    0.86
    Quotes
    0.82
    Wan
    0.81
    Gi
    0.81
    Its
    0.79
    WAR
    0.78
    Sources
    0.76
    Related
    0.76
    READ
    0.76
    Activations Density 0.027%

    No Known Activations