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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. 3-RES-JB
    11. 13127
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    Explanations

    references to radio stations and programs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of radio stations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rg
    -0.72
    20439
    -0.71
    urable
    -0.70
    jamin
    -0.69
    ":"/
    -0.68
    ean
    -0.66
    gets
    -0.66
    ienced
    -0.65
    aunder
    -0.65
    erest
    -0.64
    POSITIVE LOGITS
    active
    1.07
    Radio
    0.99
     Radio
    0.96
    actively
    0.96
     antennas
    0.92
     Shack
    0.90
    ode
    0.88
     antenna
    0.85
     stations
    0.83
    activity
    0.80
    Activations Density 0.007%

    No Known Activations