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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. 8-RES-JB
    11. 12850
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to measurements or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gow
    -0.95
    iov
    -0.80
    zinski
    -0.77
    iland
    -0.75
    nis
    -0.74
    omo
    -0.68
    lees
    -0.68
    kit
    -0.68
    atform
    -0.67
    itions
    -0.67
    POSITIVE LOGITS
     magnitude
    1.26
     precedence
    1.16
     priority
    0.82
    rontal
    0.82
     descent
    0.77
     preference
    0.73
     occurrence
    0.73
     elimination
    0.70
     excellence
    0.69
     nature
    0.68
    Activations Density 0.080%

    No Known Activations