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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. 2-RES-JB
    11. 5960
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    Explanations

    words related to writhing or wracking, possibly associated with pain or physical struggles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "writing" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RON
    -0.87
     hereby
    -0.71
    ablishment
    -0.70
     Investors
    -0.69
    eele
    -0.64
    ortium
    -0.64
     doi
    -0.64
    schild
    -0.62
    BALL
    -0.62
    HAEL
    -0.62
    POSITIVE LOGITS
    angling
    1.04
     wr
    1.04
    inkle
    1.03
    angler
    0.99
    angled
    0.93
    inging
    0.92
    angle
    0.90
    ings
    0.90
    ithing
    0.88
    angles
    0.87
    Activations Density 0.006%

    No Known Activations