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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. 360
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    Explanations

    phrases starting with "There is" or "There are"

    oai_token-act-pair · gpt-3.5-turbo

    sequences of text that are either empty or devoid of meaningful content

    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
     respons
    -0.77
     immersion
    -0.71
    OTHER
    -0.68
    CCC
    -0.66
    æ©
    -0.66
     traged
    -0.65
     moreover
    -0.65
    ologically
    -0.64
     versa
    -0.64
     snipp
    -0.62
    POSITIVE LOGITS
    chwitz
    0.83
    resa
    0.79
    reetings
    0.76
    zbollah
    0.73
     Hear
    0.68
     Might
    0.65
    WASHINGTON
    0.65
    endor
    0.64
     Updated
    0.64
     Hour
    0.61
    Activations Density 0.193%

    No Known Activations