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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of the word "luxury"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "ux”

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    à¨
    -0.78
    ¶ħ
    -0.74
    ansom
    -0.72
    à©
    -0.66
    enance
    -0.66
     à¨
    -0.62
    wart
    -0.62
    ¢
    -0.61
     Rough
    -0.61
     recalling
    -0.60
    POSITIVE LOGITS
    iliary
    1.41
    uries
    1.16
    ury
    1.14
    edo
    1.12
    urious
    1.10
    uria
    0.96
    xes
    0.95
    eus
    0.91
    odus
    0.90
    avier
    0.88
    Activations Density 0.021%

    No Known Activations