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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. 24339
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    Explanations

    phrases related to lists or collections

    oai_token-act-pair · gpt-3.5-turbo

    the presence of lists and enumerations of items or concepts

    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
    slow
    -0.66
    ©¶æ
    -0.64
     slightest
    -0.59
    abad
    -0.58
     Oval
    -0.56
    umbledore
    -0.56
    Lo
    -0.55
    mobi
    -0.55
    prints
    -0.54
    ities
    -0.54
    POSITIVE LOGITS
     of
    0.76
    efully
    0.70
    ographical
    0.70
     consisting
    0.68
    ography
    0.67
    ozy
    0.67
    arious
    0.66
    ingly
    0.66
    ographically
    0.64
     spanning
    0.64
    Activations Density 0.152%

    No Known Activations