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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. 7376
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    INDEX
    Explanations

    specific mentions of events, people, and locations

    oai_token-act-pair · gpt-3.5-turbo

    political events and their implications

    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
    Not in Any Lists

    No Comments

    Negative Logits
    .}
    -0.74
     endif
    -0.74
    %.
    -0.73
    âĵĺ
    -0.68
    .""
    -0.68
    ."[
    -0.68
    +.
    -0.68
    "/>
    -0.66
    .�
    -0.65
     nonetheless
    -0.65
    POSITIVE LOGITS
    aclysm
    0.67
    bernatorial
    0.61
    imester
    0.59
     deadline
    0.59
    iatus
    0.57
    election
    0.56
    Newsletter
    0.55
    ocalypse
    0.55
     keynote
    0.55
     debacle
    0.54
    Activations Density 1.091%

    No Known Activations