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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. 0-RES-JB
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    Explanations

    words related to ships and maritime activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mp
    -0.76
    mem
    -0.67
     unfocusedRange
    -0.66
    alam
    -0.65
    oner
    -0.65
    ome
    -0.64
    ovember
    -0.64
    arov
    -0.63
    ggie
    -0.62
    ach
    -0.61
    POSITIVE LOGITS
     ships
    3.80
     Ships
    2.87
     warships
    2.55
     vessels
    2.39
     boats
    2.30
     ship
    2.23
     fleets
    1.96
     submarines
    1.93
    boats
    1.93
    ships
    1.87
    Activations Density 0.013%

    No Known Activations