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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. 4-RES-JB
    11. 9540
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Barclays
    -0.70
    HEAD
    -0.67
     Scotia
    -0.67
     McCann
    -0.65
    head
    -0.64
    knife
    -0.64
    PRESS
    -0.64
     Danish
    -0.62
     9000
    -0.61
     Feast
    -0.61
    POSITIVE LOGITS
    ures
    1.36
    ured
    1.31
    ors
    1.27
    urers
    1.26
    orial
    1.18
    ory
    1.18
    ories
    1.18
    or
    1.18
    ored
    1.15
    orship
    1.14
    Activations Density 0.035%

    No Known Activations