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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. 11636
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    Explanations

    technical terms and mentions

    oai_token-act-pair · gpt-3.5-turbo

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    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
     sqor
    -0.74
     bed
    -0.74
     beds
    -0.72
     rooting
    -0.71
     awoken
    -0.63
     thence
    -0.61
     roadside
    -0.61
     meal
    -0.61
     pard
    -0.61
     fentanyl
    -0.60
    POSITIVE LOGITS
    icians
    1.44
    icol
    1.33
    ically
    1.31
    ological
    1.24
    ologies
    1.18
    iques
    1.16
    icity
    1.13
    ician
    1.13
    ique
    1.13
    ische
    1.09
    Activations Density 0.015%

    No Known Activations