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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. 14925
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and entities, especially in contexts involving notable 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
    ĵĺ
    -0.65
    qt
    -0.64
    ãĥĩãĤ£
    -0.61
    rio
    -0.61
    irth
    -0.60
    ixt
    -0.59
    ¯¯¯¯
    -0.58
    greSQL
    -0.57
     âĢº
    -0.57
    Stars
    -0.56
    POSITIVE LOGITS
     intervened
    0.80
     manipulated
    0.76
     interfered
    0.75
     vetoed
    0.74
     dictate
    0.74
     dictates
    0.72
     dictated
    0.69
    âķIJ
    0.68
     controls
    0.68
     screws
    0.67
    Activations Density 0.879%

    No Known Activations