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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. 7-RES-JB
    11. 19090
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    Explanations

    words related to interviews and discussions with others

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to discussions or interviews

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventory
    -0.70
    Catalog
    -0.69
    meter
    -0.67
    offic
    -0.65
    veh
    -0.65
    soDeliveryDate
    -0.63
    iere
    -0.61
    Associated
    -0.61
    photo
    -0.61
    Tro
    -0.60
    POSITIVE LOGITS
     topics
    0.82
     listener
    0.80
    onduct
    0.73
     candid
    0.72
    odcast
    0.72
     why
    0.72
     reconnect
    0.71
     topical
    0.69
     NX
    0.68
     misconceptions
    0.67
    Activations Density 0.223%

    No Known Activations