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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. 6232
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    Explanations

    dates or time-related phrases such as months and years

    oai_token-act-pair · gpt-3.5-turbo

    repeated punctuation or a specific pattern of 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
    VPN
    -0.68
    Cause
    -0.66
    bryce
    -0.64
    ãĤ´ãĥ³
    -0.64
    Deal
    -0.63
    grain
    -0.61
    ometry
    -0.60
    Graph
    -0.59
    ãĥ¥
    -0.59
    Optional
    -0.59
    POSITIVE LOGITS
     however
    0.97
     meanwhile
    0.75
     though
    0.72
     Mehran
    0.69
     Shank
    0.67
     although
    0.66
     Kahn
    0.66
     alas
    0.63
     Devon
    0.61
     Leone
    0.60
    Activations Density 0.338%

    No Known Activations