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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
    11. 3961
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    Explanations

    instances where emergency crews are involved in different situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of emergency response personnel and their activities

    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
     futures
    -0.75
    topia
    -0.73
     hegemony
    -0.71
     worlds
    -0.70
     fantasies
    -0.68
    ãĥ´
    -0.68
     Franken
    -0.61
     delusions
    -0.61
     veto
    -0.60
    âĸ¬âĸ¬
    -0.60
    POSITIVE LOGITS
     crews
    1.01
    nsic
    0.92
    intendent
    0.91
    nsics
    0.91
     technicians
    0.90
     paramedics
    0.90
    earchers
    0.88
     stationed
    0.88
     personnel
    0.88
    Crew
    0.86
    Activations Density 0.120%

    No Known Activations