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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. 10-RES-JB
    11. 5206
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    Explanations

    references to fires and other related incidents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fire incidents and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.88
     Lans
    -0.81
    onse
    -0.70
     Virtue
    -0.67
     pes
    -0.65
     Vec
    -0.64
    oliberal
    -0.64
    ************
    -0.63
    atever
    -0.63
     Verge
    -0.63
    POSITIVE LOGITS
     exting
    1.34
    fighting
    1.30
    storm
    1.13
    storms
    1.09
    fight
    1.08
    fighters
    1.03
     extingu
    1.03
    bomb
    1.00
    fighter
    0.99
    proof
    0.98
    Activations Density 0.030%

    No Known Activations