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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. 2-RES-JB
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    Explanations

    the word "Teams"

    oai_token-act-pair · gpt-3.5-turbo

    references to "teams" in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Accessory
    -0.81
    Charge
    -0.73
    shire
    -0.69
    Delivery
    -0.69
    forward
    -0.69
    Population
    -0.68
     Maw
    -0.67
    fect
    -0.66
     Telegraph
    -0.66
    ston
    -0.66
    POSITIVE LOGITS
    peak
    1.24
    heet
    0.95
    etter
    0.94
    ettings
    0.94
     teams
    0.91
    paces
    0.88
    wana
    0.86
    ubs
    0.82
    eries
    0.81
    uggest
    0.76
    Activations Density 0.026%

    No Known Activations