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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. 6856
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    Explanations

    phrases related to disaster and destruction, particularly focusing on debris

    oai_token-act-pair · gpt-3.5-turbo

    references to debris and rubble in relation to destruction or 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
    Polit
    -0.68
    itudes
    -0.68
    zee
    -0.66
    Demand
    -0.64
    ership
    -0.63
    UP
    -0.62
    olar
    -0.62
    bred
    -0.62
    vern
    -0.61
    conn
    -0.61
    POSITIVE LOGITS
     debris
    1.40
     rubble
    1.00
     fragments
    0.94
     wreckage
    0.93
     piles
    0.86
     shards
    0.83
     scraps
    0.81
     particles
    0.81
     remnants
    0.81
     dumps
    0.81
    Activations Density 0.006%

    No Known Activations