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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. 4-RES-JB
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    Explanations

    words related to natural disasters, especially severe weather events like droughts and storms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rough."

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

    No Comments

    Negative Logits
    natureconservancy
    -0.86
    INC
    -0.69
    ULT
    -0.65
    illary
    -0.63
    ULTS
    -0.63
    shapeshifter
    -0.62
     Bundes
    -0.62
    uppet
    -0.59
    arella
    -0.59
     Das
    -0.59
    POSITIVE LOGITS
    sie
    0.98
    son
    0.96
    thood
    0.91
    scl
    0.86
    rough
    0.86
    sin
    0.84
    comes
    0.84
    sts
    0.82
    cliffe
    0.81
    s
    0.80
    Activations Density 0.006%

    No Known Activations