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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. 8-RES-JB
    11. 10388
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    Explanations

    phrases related to interference, disruption, or compromise

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to interference or disruption of processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ich
    -0.72
    abouts
    -0.72
    mad
    -0.68
    chester
    -0.65
    iller
    -0.62
    Mut
    -0.62
    ãĥ¼ãĥĨãĤ£
    -0.61
    odd
    -0.61
    544
    -0.61
     Cosponsors
    -0.61
    POSITIVE LOGITS
     tranqu
    0.88
     sensibilities
    0.80
    ĪĴ
    0.78
     morale
    0.77
     delicate
    0.76
     morals
    0.75
     innocent
    0.73
     peace
    0.72
     liberties
    0.72
     purity
    0.71
    Activations Density 0.448%

    No Known Activations