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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. 12251
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    Explanations

    phrases related to appealing to a target audience or demographic

    oai_token-act-pair · gpt-3.5-turbo

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    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
    sterdam
    -0.81
     tracked
    -0.68
    llan
    -0.67
    works
    -0.66
    bats
    -0.64
    ©¶æ
    -0.64
    hesda
    -0.63
    onym
    -0.62
    lance
    -0.60
    itzer
    -0.60
    POSITIVE LOGITS
    姫
    0.82
     gauge
    0.78
     appease
    0.73
     guiActiveUnfocused
    0.73
     enthusi
    0.71
     reassure
    0.70
    govtrack
    0.69
     motivate
    0.69
     conserve
    0.67
    GBT
    0.65
    Activations Density 0.061%

    No Known Activations