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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. 3-RES-JB
    11. 13528
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    Explanations

    capital letters followed by a few characters in text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "W."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unpre
    -0.77
    arial
    -0.72
     succeeding
    -0.72
    displayText
    -0.70
     guarding
    -0.68
     unarmed
    -0.67
     apprehension
    -0.67
    İĭ
    -0.65
     flares
    -0.65
     afore
    -0.65
    POSITIVE LOGITS
    atts
    1.28
    OW
    1.17
    restling
    1.16
    edge
    1.15
    atson
    1.15
    itness
    1.13
    izard
    1.07
    ITNESS
    1.07
    ashington
    1.07
    ITH
    1.06
    Activations Density 0.033%

    No Known Activations