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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4067
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    INDEX
    Explanations

    phrases related to something being especially or particularly significant or important

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing significance or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ences
    -0.70
     essentially
    -0.68
     actually
    -0.68
     Anarchy
    -0.67
    offic
    -0.65
    ruary
    -0.65
    ensibly
    -0.65
    \\\\\\\\
    -0.65
    cli
    -0.65
    only
    -0.64
    POSITIVE LOGITS
     egregious
    1.26
     noteworthy
    1.12
     troublesome
    1.06
     noticeable
    1.03
     notable
    1.00
     heinous
    0.97
     poignant
    0.97
     suited
    0.95
     susceptible
    0.94
     potent
    0.93
    Activations Density 0.052%

    No Known Activations