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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
    11. 7549
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    Explanations

    URL-related terms and protocols, like "http" and "protocol"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "groups" or "group behavior," particularly in context

    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
     Leap
    -0.75
     cannon
    -0.72
     cavalry
    -0.69
     Companion
    -0.69
     Compass
    -0.67
     caution
    -0.66
     scouting
    -0.64
     miles
    -0.62
     clutch
    -0.62
     Mile
    -0.62
    POSITIVE LOGITS
    ocol
    2.72
    sten
    1.92
    group
    1.82
    groups
    1.76
    urrency
    1.24
    entimes
    1.18
     Kol
    1.02
    urrencies
    0.94
    chrom
    0.92
     Coch
    0.89
    Activations Density 0.022%

    No Known Activations