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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. 7-RES-JB
    11. 14302
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to specific locations and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     constants
    -0.47
     diligent
    -0.46
    uable
    -0.45
    ãĥīãĥ©
    -0.45
     looph
    -0.45
    espie
    -0.45
     comr
    -0.45
    pty
    -0.44
    trak
    -0.44
    Pear
    -0.44
    POSITIVE LOGITS
     Belfast
    0.90
    ↵
    0.66
     Posted
    0.65
     REUTERS
    0.63
     Shutterstock
    0.63
     ©
    0.63
    .
    0.62
     Replay
    0.61
    ↵↵
    0.61
    AFP
    0.60
    Activations Density 1.009%

    No Known Activations