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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. 9408
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    Explanations

    words related to physical damage or destruction

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word related to damage

    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
    arist
    -0.83
    atorial
    -0.80
    atography
    -0.76
    pol
    -0.72
    ult
    -0.72
    batch
    -0.72
    ffic
    -0.70
    analysis
    -0.70
    rouse
    -0.70
    ingham
    -0.70
    POSITIVE LOGITS
     damaged
    1.13
     damage
    0.90
     repair
    0.86
     undermin
    0.85
     wounds
    0.81
     warheads
    0.80
     damages
    0.80
     salvage
    0.78
     repairing
    0.78
     tiss
    0.77
    Activations Density 0.009%

    No Known Activations