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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. 16395
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    Explanations

    questions directed towards a specific person or entity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey conditions or consequences

    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
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    No Comments

    Negative Logits
    oplan
    -0.72
    cedented
    -0.71
     extensively
    -0.68
    alach
    -0.68
     toured
    -0.68
    odcast
    -0.67
    eworld
    -0.67
     keynote
    -0.66
    eatured
    -0.66
     ubiqu
    -0.65
    POSITIVE LOGITS
     somebody
    0.93
     someone
    0.92
     he
    0.88
     whoever
    0.87
     retaliation
    0.83
     retribution
    0.83
     reperc
    0.83
     she
    0.79
     blackmail
    0.78
     betrayal
    0.78
    Activations Density 0.793%

    No Known Activations