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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. 6-RES-JB
    11. 15311
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    Explanations

    mentions of debris and similar terms related to destruction or remnants following an incident

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    keywords related to disaster events and cleanup efforts, particularly focusing on debris

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osexual
    -0.78
    vern
    -0.74
    zee
    -0.74
     Pis
    -0.73
    ebus
    -0.72
    Polit
    -0.71
    rist
    -0.68
    nder
    -0.67
    upuncture
    -0.67
    ventus
    -0.66
    POSITIVE LOGITS
     debris
    1.19
     piles
    1.00
     fragments
    0.98
    shed
    0.95
     remnants
    0.89
     heap
    0.89
     rubble
    0.88
     pile
    0.87
     wreckage
    0.85
     piled
    0.84
    Activations Density 0.029%

    No Known Activations