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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. 1-RES-JB
    11. 5508
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    Explanations

    phrases related to exceptional accomplishments or achievements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of noteworthy achievements or accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    relations
    -0.69
     consultation
    -0.67
     constituent
    -0.66
     contracting
    -0.66
    iosis
    -0.65
    icious
    -0.63
    itu
    -0.62
     textbooks
    -0.62
     Quarterly
    -0.62
     Lumpur
    -0.60
    POSITIVE LOGITS
     feat
    1.32
    hered
    1.30
     feats
    1.13
    feat
    0.88
    hest
    0.84
    reys
    0.77
    iques
    0.77
    ifully
    0.75
    chers
    0.75
     accomplishment
    0.74
    Activations Density 0.006%

    No Known Activations