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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. 6-RES-JB
    11. 12191
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and associated actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CLS
    -0.69
     trapping
    -0.65
     subclass
    -0.65
     overlap
    -0.63
     distinctions
    -0.62
     divisions
    -0.61
     recursive
    -0.58
     mids
    -0.57
     wolves
    -0.57
     mid
    -0.57
    POSITIVE LOGITS
     Jr
    1.18
     Sr
    1.13
     III
    0.85
    ovich
    0.84
    Jr
    0.77
     aka
    0.75
     (@
    0.72
    enegger
    0.69
    ahoo
    0.69
    sson
    0.69
    Activations Density 0.205%

    No Known Activations