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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. 4453
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    Explanations

    mentions of specific activities, such as chauffeuring

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific surnames and terms related to individuals and agencies involved in various contexts

    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
     McCann
    -0.83
     Mercury
    -0.69
     wolves
    -0.68
     Atlantic
    -0.63
     Nickel
    -0.62
     sparks
    -0.62
    fleet
    -0.62
     Barkley
    -0.61
     Polaris
    -0.61
     Huntington
    -0.60
    POSITIVE LOGITS
    eme
    1.16
    elin
    1.04
    el
    1.01
    lied
    1.00
    eless
    0.93
    eled
    0.93
    emen
    0.90
    etr
    0.90
    ewater
    0.89
    ements
    0.89
    Activations Density 0.028%

    No Known Activations