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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. 8062
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating permission or possibility

    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
    sett
    -0.62
    given
    -0.61
    ging
    -0.61
    funding
    -0.60
     Bird
    -0.59
    athing
    -0.59
    paid
    -0.58
    ciating
    -0.57
    ãĥ¼ãĥ«
    -0.57
     Palmer
    -0.57
    POSITIVE LOGITS
    hap
    1.19
    haps
    1.09
     differ
    1.08
     optionally
    1.08
     vary
    0.99
     be
    0.94
     contain
    0.92
    bes
    0.90
    onna
    0.90
     confuse
    0.89
    Activations Density 0.062%

    No Known Activations