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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. 7-RES-JB
    11. 8889
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to modernity or contemporary themes

    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
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    No Comments

    Negative Logits
    kick
    -0.83
    cius
    -0.81
    REDACTED
    -0.79
    Bone
    -0.78
    ï¸ı
    -0.71
    Merit
    -0.70
    cial
    -0.69
    vana
    -0.68
    OTH
    -0.68
    iquid
    -0.67
    POSITIVE LOGITS
    isation
    1.20
    ity
    1.09
    ization
    1.05
    izations
    1.02
    ized
    1.02
    izing
    1.01
    isers
    0.98
    ist
    0.96
     incarnation
    0.96
    ists
    0.93
    Activations Density 0.026%

    No Known Activations