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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. 3-RES-JB
    11. 23182
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    Explanations

    dates in the format of year.month

    oai_token-act-pair · gpt-3.5-turbo

    specific years and historical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Score
    -0.81
    parency
    -0.78
    itivity
    -0.77
    edIn
    -0.76
    isoft
    -0.72
    stakes
    -0.71
    paced
    -0.69
     rollout
    -0.67
     Frenzy
    -0.67
     Tonight
    -0.65
    POSITIVE LOGITS
    teenth
    0.98
    th
    0.89
     Ferdinand
    0.86
    ixties
    0.84
    eteenth
    0.82
    -'
    0.80
    alus
    0.74
     ILCS
    0.73
     Flore
    0.72
    eenth
    0.72
    Activations Density 0.138%

    No Known Activations