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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. 1-RES-JB
    11. 1017
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    Explanations

    words with the root "wr" followed by a certain number of characters

    oai_token-act-pair · gpt-3.5-turbo

    instances of words related to writing or physical movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RON
    -0.92
     doi
    -0.68
     hereby
    -0.68
     Investors
    -0.64
    inates
    -0.64
    ortium
    -0.62
     whistle
    -0.62
    onyms
    -0.61
    ropolitan
    -0.60
    medium
    -0.60
    POSITIVE LOGITS
     wr
    1.18
    inkle
    1.05
    angling
    1.04
    angler
    1.02
    inging
    0.92
    angle
    0.92
    angled
    0.88
    ithing
    0.87
    iggle
    0.86
    ights
    0.85
    Activations Density 0.008%

    No Known Activations