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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. 1-RES-JB
    11. 21203
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    Explanations

    measurements related to distance

    oai_token-act-pair · gpt-3.5-turbo

    references to measurement units, specifically meters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Thumbnail
    -0.92
    itives
    -0.82
    ================================================================
    -0.74
    cause
    -0.71
    =-=-=-=-=-=-=-=-
    -0.69
    sburgh
    -0.68
    doms
    -0.67
    Benef
    -0.65
    Indiana
    -0.65
    axter
    -0.64
    POSITIVE LOGITS
     meters
    1.27
     meter
    1.22
    meter
    1.12
     Meter
    0.87
    imet
    0.85
     Cheong
    0.81
    nea
    0.79
     metres
    0.77
     metre
    0.76
     emitting
    0.74
    Activations Density 0.006%

    No Known Activations