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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. 17602
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    INDEX
    Explanations

    words related to cutting or removing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions or states that involve consumption or engagement

    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
    uture
    -0.73
    Jane
    -0.63
    WIND
    -0.63
     Niet
    -0.61
    Mass
    -0.61
    emetery
    -0.60
    Tan
    -0.59
    ishable
    -0.59
    issance
    -0.59
    MN
    -0.59
    POSITIVE LOGITS
    anism
    0.78
    lain
    0.69
     disl
    0.64
    ographed
    0.62
     flakes
    0.61
    rals
    0.61
    rogram
    0.57
    sticks
    0.57
    lear
    0.57
     clicked
    0.57
    Activations Density 0.051%

    No Known Activations