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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 6471
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    INDEX
    Explanations

    negative statements expressing non-existence or exclusion

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express negation or limitation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    licks
    -0.77
    Topics
    -0.74
    dies
    -0.72
    Ĥİ
    -0.68
    love
    -0.68
     struggles
    -0.65
    GRE
    -0.64
    æĥ
    -0.63
    ãģĦ
    -0.63
    illon
    -0.63
    POSITIVE LOGITS
     necessarily
    1.12
     applicable
    1.06
     feasible
    1.05
     permitted
    1.02
     necessary
    1.00
     recommended
    1.00
     advisable
    0.98
     guaranteed
    0.98
     required
    0.98
    epad
    0.95
    Activations Density 0.154%

    No Known Activations