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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. 4-RES-JB
    11. 22637
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    Explanations

    phrases related to time and events

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

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

    No Comments

    Negative Logits
    Sov
    -0.69
    ery
    -0.69
    raft
    -0.69
    grain
    -0.68
    cel
    -0.68
    ļéĨĴ
    -0.67
    irie
    -0.67
     distress
    -0.67
    Accessory
    -0.67
    ety
    -0.66
    POSITIVE LOGITS
     namely
    1.05
     respectively
    0.97
     culminating
    0.96
     albeit
    0.96
     although
    0.90
     including
    0.86
     whereas
    0.82
     notably
    0.80
     includ
    0.77
    aptic
    0.77
    Activations Density 1.004%

    No Known Activations