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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. 4-RES-JB
    11. 16019
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    Explanations

    Words related to high tension or chaotic situations

    oai_token-act-pair · gpt-3.5-turbo

    words indicating high levels of tension or conflict

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

    No Comments

    Negative Logits
    arthed
    -0.87
    anguage
    -0.85
    ften
    -0.82
    iphate
    -0.80
    claimer
    -0.80
    ayer
    -0.76
    alach
    -0.74
    available
    -0.74
    anish
    -0.74
    Rate
    -0.74
    POSITIVE LOGITS
     atmosp
    0.93
     situations
    0.85
     circumstances
    0.85
     atmosphere
    0.83
     adolesc
    0.82
     farewell
    0.81
     scenes
    0.81
     affairs
    0.80
     environments
    0.80
     events
    0.79
    Activations Density 0.045%

    No Known Activations