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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 3622
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    Explanations

    words related to a group of vehicles or ships

    oai_token-act-pair · gpt-3.5-turbo

    references to fleets, particularly relating to vehicles or vessels

    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
    ividual
    -0.75
    Downloadha
    -0.75
    pheus
    -0.72
    Marginal
    -0.71
     Hussein
    -0.69
    argon
    -0.69
     Extrem
    -0.69
    Crime
    -0.67
    cond
    -0.66
     Expression
    -0.66
    POSITIVE LOGITS
     fleet
    0.86
     fleets
    0.83
     deployments
    0.81
    fleet
    0.79
    mates
    0.75
    ingly
    0.75
    wide
    0.74
     Fleet
    0.73
     squadron
    0.72
    heed
    0.71
    Activations Density 0.012%

    No Known Activations