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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. 19736
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    Explanations

    dates or time references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on"

    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
    BIP
    -0.91
    MODE
    -0.85
    SourceFile
    -0.84
    Apps
    -0.82
    ACTED
    -0.79
    Cub
    -0.78
    Cola
    -0.78
    Shield
    -0.77
    Kids
    -0.76
    Russ
    -0.75
    POSITIVE LOGITS
     behalf
    1.30
    erous
    1.18
    etheless
    0.99
    etime
    0.99
    shore
    0.98
    anism
    0.98
     occasion
    0.90
    eness
    0.89
    yx
    0.89
    eday
    0.88
    Activations Density 0.341%

    No Known Activations