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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. 11075
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    Explanations

    names listed with special characters

    oai_token-act-pair · gpt-3.5-turbo

    words that begin with a specific character or character set, likely related to formatting or encoding

    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
    berman
    -0.76
     scattering
    -0.67
     answ
    -0.65
     unwanted
    -0.61
    seless
    -0.61
     mushroom
    -0.61
     flourishing
    -0.61
     puff
    -0.61
     strugg
    -0.61
     ponder
    -0.61
    POSITIVE LOGITS
    ¯
    0.86
    Tea
    0.84
    é¾į
    0.78
    ï¸ı
    0.78
    east
    0.77
    âĶģ
    0.76
    sung
    0.76
    ef
    0.75
    ÃĽ
    0.74
    ded
    0.73
    Activations Density 0.240%

    No Known Activations