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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. 0-RES-JB
    6. 14200
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    INDEX
    Explanations

    words related to reaching or achieving high positions or quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances related to maximum values or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Disc
    -0.65
     abort
    -0.65
     Fisher
    -0.64
    ibly
    -0.64
     actions
    -0.61
     contacts
    -0.61
     interaction
    -0.61
    im
    -0.60
     interference
    -0.60
     XY
    -0.60
    POSITIVE LOGITS
     topped
    3.60
     topping
    2.21
     surpassed
    1.69
     tops
    1.57
     dipped
    1.50
     garn
    1.41
     capped
    1.36
     peaked
    1.36
     adorned
    1.28
     edged
    1.28
    Activations Density 0.017%

    No Known Activations