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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. 4858
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    Explanations

    words related to natural disasters, particularly fires

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fires

    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
    Birth
    -0.78
    GB
    -0.68
    WOR
    -0.68
    afort
    -0.68
    Tok
    -0.67
    Boy
    -0.67
    sie
    -0.64
    Else
    -0.64
    AAAA
    -0.64
    atem
    -0.63
    POSITIVE LOGITS
     fires
    1.09
    fires
    1.00
     Fired
    0.97
     Fires
    0.92
     torches
    0.89
     exting
    0.88
     flares
    0.87
     blazing
    0.83
    hops
    0.81
     wildfires
    0.80
    Activations Density 0.006%

    No Known Activations