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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. 12486
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    oai_token-act-pair · gpt-3.5-turbo

    references to laws and legal requirements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     analogy
    -0.58
     Whats
    -0.57
     hindsight
    -0.57
     afterwards
    -0.56
     notoriety
    -0.54
     because
    -0.54
     meanwhile
    -0.53
     however
    -0.53
     neighbouring
    -0.53
     positives
    -0.53
    POSITIVE LOGITS
    çĶ°
    0.64
    ©¶æ
    0.61
    ¥ŀ
    0.59
    locking
    0.59
    linger
    0.59
     antidepress
    0.59
    rolet
    0.58
    verend
    0.57
    male
    0.57
    senal
    0.57
    Activations Density 1.044%

    No Known Activations