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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. 3542
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    Explanations

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    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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
     Shining
    -0.63
     Forsaken
    -0.61
    hide
    -0.58
     stories
    -0.55
     bombard
    -0.54
     Biol
    -0.54
     wander
    -0.54
     appearances
    -0.54
    ses
    -0.54
     impressions
    -0.54
    POSITIVE LOGITS
     unanimously
    1.25
     by
    1.01
     jointly
    0.92
     democratically
    0.81
    soDeliveryDate
    0.79
     orally
    0.78
     collabor
    0.78
    igated
    0.74
    ission
    0.73
     anew
    0.73
    Activations Density 0.136%

    No Known Activations