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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. 12200
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    Explanations

    phrases instructing people to take action or provide information

    oai_token-act-pair · gpt-3.5-turbo

    requests for information or assistance from the public

    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
    apo
    -0.67
     infall
    -0.61
    forcement
    -0.61
    Thumbnail
    -0.59
     itself
    -0.59
     hierarchy
    -0.58
    OLOG
    -0.58
    xa
    -0.58
    AV
    -0.57
    Prosecut
    -0.57
    POSITIVE LOGITS
     beware
    1.30
     rejoice
    1.00
     alike
    0.89
     flock
    0.83
     wishing
    0.81
    ourt
    0.79
     Beware
    0.75
     clam
    0.74
     opting
    0.74
    antha
    0.74
    Activations Density 0.957%

    No Known Activations