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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. 18559
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    INDEX
    Explanations

    references to specific points in time or specific instances

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "snapshot" and its variations in various contexts

    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
    anooga
    -1.10
    orney
    -0.98
    uana
    -0.91
    ressive
    -0.89
    iant
    -0.80
    umi
    -0.80
    reek
    -0.78
    aina
    -0.78
    acist
    -0.77
    uct
    -0.75
    POSITIVE LOGITS
     snapshots
    1.30
     snapshot
    1.29
     Snapchat
    0.78
     Snap
    0.75
     glimps
    0.74
     photograph
    0.74
     Bam
    0.74
    snap
    0.74
     VERS
    0.71
     reminders
    0.69
    Activations Density 0.016%

    No Known Activations