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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

    natural disaster-related terms, specifically focusing on storms like hurricanes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to severe weather events and storms

    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
    VO
    -0.74
    ENE
    -0.71
    ovo
    -0.70
    idav
    -0.70
     pawn
    -0.70
    APTER
    -0.67
    itone
    -0.66
     Philos
    -0.65
    duino
    -0.64
     salon
    -0.63
    POSITIVE LOGITS
     rains
    1.10
    storms
    1.07
     storms
    0.97
     Hai
    0.93
     floods
    0.92
     flooding
    0.92
     impacts
    0.92
     Irma
    0.88
     advis
    0.87
     Typhoon
    0.87
    Activations Density 0.122%

    No Known Activations