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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. 10211
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    INDEX
    Explanations

    adjectives related to visual appearance and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to appearances and perceptions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    oute
    -0.67
    oulos
    -0.66
    cember
    -0.62
     railing
    -0.60
    ciating
    -0.60
     Strikes
    -0.60
     Perspect
    -0.60
     Variant
    -0.60
     Ways
    -0.59
     ensu
    -0.59
    POSITIVE LOGITS
     stronger
    0.84
     nicer
    0.80
     invincible
    0.79
     bigger
    0.79
     attractive
    0.78
     smarter
    0.78
     insignificant
    0.77
    thood
    0.76
     weaker
    0.75
     worse
    0.74
    Activations Density 0.109%

    No Known Activations