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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. 10-RES-JB
    11. 18504
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    Explanations

    words related to expressing strong opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vocabulary and cultural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    etter
    -0.84
    erness
    -0.80
    icipated
    -0.78
    raid
    -0.74
    esm
    -0.74
    ered
    -0.73
    ering
    -0.72
    ness
    -0.72
    resh
    -0.71
    ige
    -0.71
    POSITIVE LOGITS
    ations
    0.92
    acion
    0.87
    atures
    0.82
    entric
    0.81
    ATIONS
    0.79
    atis
    0.76
    ature
    0.76
    ates
    0.76
    adoes
    0.75
    acies
    0.75
    Activations Density 0.076%

    No Known Activations