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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. 22192
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    Explanations

    phrases related to hypothetical situations involving actions and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to violence or negative social phenomena

    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
    owered
    -0.77
    yp
    -0.65
    ix
    -0.61
    gged
    -0.61
    ave
    -0.60
    avored
    -0.58
    abba
    -0.58
     impacted
    -0.57
     boosted
    -0.56
    tained
    -0.56
    POSITIVE LOGITS
     there
    1.78
    there
    1.51
     THERE
    1.50
     There
    1.36
    There
    1.22
     here
    0.87
     therein
    0.82
     exists
    0.82
     somewhere
    0.80
     thereof
    0.75
    Activations Density 0.200%

    No Known Activations