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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. 9026
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    Explanations

    dialogue where characters are speaking or expressing themselves in some way

    oai_token-act-pair · gpt-3.5-turbo

    instances of speech or dialogue

    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
    Not in Any Lists

    No Comments

    Negative Logits
    abase
    -0.71
    agos
    -0.69
    unity
    -0.68
    ships
    -0.68
    ividual
    -0.67
    ashington
    -0.67
    amation
    -0.66
    rift
    -0.65
    folio
    -0.64
    orts
    -0.63
    POSITIVE LOGITS
     aloud
    1.28
     hello
    1.28
     goodbye
    1.25
     loudly
    1.18
     softly
    1.16
     farewell
    1.06
     hi
    0.98
     bye
    0.98
     Goodbye
    0.96
     encouragement
    0.96
    Activations Density 0.207%

    No Known Activations