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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. 14865
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    Explanations

    phrases related to triggering events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to triggering or initiating 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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    No Comments

    Negative Logits
    inity
    -0.71
    quickShipAvailable
    -0.67
    ockey
    -0.63
     regained
    -0.60
    ophon
    -0.60
    ÄŁ
    -0.60
    theless
    -0.59
     reuse
    -0.59
    hai
    -0.58
    umb
    -0.58
    POSITIVE LOGITS
     alarm
    0.91
     alarms
    0.90
     fireworks
    0.87
    cffffcc
    0.82
     havoc
    0.74
    bomb
    0.72
    nings
    0.70
    ocument
    0.66
     steam
    0.65
    ezvous
    0.64
    Activations Density 0.035%

    No Known Activations