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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. 10-RES-JB
    11. 5143
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    INDEX
    Explanations

    exact numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measurements

    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
    venge
    -0.69
    estine
    -0.67
    rift
    -0.65
    warts
    -0.62
    ror
    -0.62
    unct
    -0.61
     symmetry
    -0.61
    ufact
    -0.60
    robe
    -0.60
    algia
    -0.58
    POSITIVE LOGITS
    px
    1.09
    +
    1.03
    ml
    1.00
    lbs
    0.99
    mL
    0.98
    lb
    0.98
     000
    0.97
    km
    0.96
    MHz
    0.96
     MHz
    0.92
    Activations Density 0.082%

    No Known Activations