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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. 14392
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    Explanations

    trigger words indicating a change in topic or speaker

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific symbol or character

    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
     shroud
    -0.85
     shrouded
    -0.69
     semblance
    -0.69
     grips
    -0.68
     leaps
    -0.68
     residence
    -0.68
     representation
    -0.67
     envelop
    -0.65
     transfer
    -0.64
     visitor
    -0.64
    POSITIVE LOGITS
    ł
    1.26
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    ª
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    1.05
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    1.04
    ¦
    1.02
    ¡
    1.02
    £
    1.00
    Activations Density 0.086%

    No Known Activations