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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. 7-RES-JB
    11. 8664
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    Explanations

    references to philanthropy and charitable giving

    oai_token-act-pair · gpt-3.5-turbo

    terms related to philanthropy and charitable activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    packing
    -0.75
     Panther
    -0.67
    ña
    -0.66
     Bloody
    -0.64
    ounter
    -0.61
     Bigfoot
    -0.61
     brutally
    -0.60
     Babel
    -0.59
     Rabbit
    -0.59
     OH
    -0.58
    POSITIVE LOGITS
    hip
    0.91
    ī
    0.89
    mens
    0.87
    ic
    0.85
    doms
    0.85
    hetically
    0.84
    icals
    0.84
    sts
    0.82
    orship
    0.81
    orical
    0.81
    Activations Density 0.096%

    No Known Activations