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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. 9763
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    Explanations

    past tense verbs

    oai_token-act-pair · gpt-3.5-turbo

    personal reflections and testimonies regarding significant experiences or trauma

    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
    EMS
    -0.70
     themselves
    -0.66
     Trident
    -0.57
     respectively
    -0.56
    idates
    -0.54
     arsen
    -0.53
    -+-+
    -0.51
     Hole
    -0.50
     Sergei
    -0.49
     understandably
    -0.49
    POSITIVE LOGITS
     myself
    1.23
    poke
    0.79
     my
    0.71
    oan
    0.67
     personally
    0.65
    ograp
    0.64
    cffff
    0.60
    ãĤ¦ãĤ¹
    0.60
    opic
    0.59
     writing
    0.59
    Activations Density 0.861%

    No Known Activations