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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. 7236
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    Explanations

    phrases starting with "say" that may indicate reported speech or opinions

    oai_token-act-pair · gpt-3.5-turbo

    statements attributed to specific subjects or entities

    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
    cffffcc
    -0.90
    ãĤ
    -0.78
    ĸļ士
    -0.78
    ï¸
    -0.71
    written
    -0.69
     Written
    -0.67
    productive
    -0.66
    theless
    -0.65
    ãĥ¼ãĥĨ
    -0.65
    ãģĮ
    -0.65
    POSITIVE LOGITS
     goodbye
    0.90
    IDA
    0.73
    olate
    0.69
     they
    0.66
     it
    0.63
    ofi
    0.62
     Rasmussen
    0.61
     NAD
    0.60
     STATS
    0.59
     Dunk
    0.59
    Activations Density 0.143%

    No Known Activations