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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. 14299
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    Explanations

    phrases used to describe concepts or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the act of describing or defining something

    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
    idav
    -0.79
     Sabha
    -0.74
    ild
    -0.70
    oglu
    -0.67
    assic
    -0.66
    pert
    -0.66
    ammy
    -0.65
    cz
    -0.65
     headlined
    -0.64
    claimed
    -0.63
    POSITIVE LOGITS
     oneself
    0.90
    enance
    0.80
     aspects
    0.80
     situations
    0.80
     qualities
    0.79
     something
    0.76
     anything
    0.75
     how
    0.74
     phenomena
    0.72
     ourselves
    0.71
    Activations Density 0.131%

    No Known Activations