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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. 7-RES-JB
    11. 21253
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    Explanations

    verbs related to revealing or exposing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of disclosing or uncovering information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wake
    -0.71
    otor
    -0.70
    annis
    -0.68
    atomic
    -0.68
    acqu
    -0.67
    hovah
    -0.65
    yip
    -0.64
    agues
    -0.64
    upiter
    -0.62
    ucky
    -0.62
    POSITIVE LOGITS
     loopholes
    0.90
     secrets
    0.86
    orial
    0.86
     truths
    0.83
    ibility
    0.83
     flaws
    0.82
     weaknesses
    0.79
    ively
    0.77
    iveness
    0.77
     revelations
    0.73
    Activations Density 0.057%

    No Known Activations