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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. 6-RES-JB
    11. 4114
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    Explanations

    adjectives related to the style or attitude of writing or speaking

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular tone or mood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.88
    iott
    -0.82
    essions
    -0.77
    icipated
    -0.74
    ordan
    -0.73
    alus
    -0.72
    ernels
    -0.71
    riks
    -0.70
    acles
    -0.68
    lisher
    -0.68
    POSITIVE LOGITS
     deaf
    1.25
     tone
    0.99
     Tone
    0.91
     assurance
    0.82
    hound
    0.76
     tune
    0.75
     tones
    0.74
     dial
    0.71
     shif
    0.71
    tone
    0.71
    Activations Density 0.027%

    No Known Activations