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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. 9-RES-JB
    11. 19504
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    Explanations

    adjectives describing difficult and challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to instability and uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ften
    -0.83
    utra
    -0.75
    iphate
    -0.71
    inctions
    -0.71
    plates
    -0.71
    vation
    -0.70
    berman
    -0.70
    fighters
    -0.70
    bsite
    -0.69
    orer
    -0.69
    POSITIVE LOGITS
     circumstances
    1.05
     adolesc
    1.01
     waters
    0.93
     affairs
    0.92
     relations
    0.91
     alliances
    0.88
     relationships
    0.85
     finances
    0.84
     atmosp
    0.83
     dealings
    0.82
    Activations Density 0.194%

    No Known Activations