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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. 13734
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    Explanations

    phrases related to specific locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific names, terms, or elements that indicate cultural references or important figures in a context

    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
     disarm
    -0.69
    aples
    -0.62
     silence
    -0.61
     bart
    -0.61
     excuses
    -0.60
     snag
    -0.59
    ":[{"
    -0.57
     apologies
    -0.57
     surprises
    -0.57
    ccording
    -0.56
    POSITIVE LOGITS
    ensis
    1.10
    orum
    0.81
     III
    0.80
     Jr
    0.77
     Ltd
    0.76
    icus
    0.75
    ée
    0.75
    osa
    0.74
    iru
    0.74
     II
    0.72
    Activations Density 0.724%

    No Known Activations