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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. 22813
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    Explanations

    references to work environments or workplace-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "Work" and related concepts, specifically focusing on its various contexts and applications

    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
     constitu
    -0.83
    PsyNetMessage
    -0.67
    olic
    -0.65
    ulously
    -0.63
    oled
    -0.63
     deaf
    -0.61
     subdu
    -0.60
     Ved
    -0.59
    idium
    -0.59
    asar
    -0.58
    POSITIVE LOGITS
    bench
    1.28
    hops
    1.11
    force
    0.98
     ethic
    0.97
    work
    0.95
    station
    0.93
    Work
    0.91
    hardt
    0.91
    fare
    0.91
    mates
    0.90
    Activations Density 0.008%

    No Known Activations