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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. 1-RES-JB
    11. 22285
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    Explanations

    phrases related to an action being done quickly or suddenly

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "snap" and its variations to indicate capturing images or moments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abet
    -0.86
    young
    -0.82
    rica
    -0.82
    esan
    -0.80
    jad
    -0.80
    uana
    -0.77
    iquid
    -0.76
    iciency
    -0.75
    ausible
    -0.74
    cussion
    -0.74
    POSITIVE LOGITS
     snapped
    1.45
     snap
    1.27
     snaps
    1.17
     snapping
    1.15
     srfAttach
    0.86
    dragon
    0.78
    Snap
    0.78
     retract
    0.70
     weld
    0.69
    adoes
    0.69
    Activations Density 0.007%

    No Known Activations