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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
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    Explanations

    mentions of radio stations

    oai_token-act-pair · gpt-3.5-turbo

    references to radio and television stations

    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
     Clause
    -0.72
    imm
    -0.72
    stract
    -0.70
    llan
    -0.66
    nexus
    -0.66
    yles
    -0.65
    dden
    -0.64
    adow
    -0.63
    hire
    -0.63
     Fields
    -0.63
    POSITIVE LOGITS
     broadcaster
    0.95
     broadcasts
    0.87
     broadcasters
    0.86
     broadcasting
    0.78
     Broadcasting
    0.78
     airs
    0.77
     commercials
    0.77
    Radio
    0.76
     WATCHED
    0.75
     transmitter
    0.74
    Activations Density 0.033%

    No Known Activations