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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. 2-RES-JB
    11. 12341
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    Explanations

    references to physical objects like tapes and their various uses

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of tape

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abad
    -0.71
    ablishment
    -0.70
    udicrous
    -0.66
    ationally
    -0.66
     Hague
    -0.66
    sf
    -0.64
     Canary
    -0.63
    ancial
    -0.63
    姫
    -0.62
     Fog
    -0.62
    POSITIVE LOGITS
     tape
    1.27
     Tape
    1.12
     tapes
    1.08
     recorder
    1.01
     cassette
    0.93
     taped
    0.91
    visor
    0.77
    entimes
    0.77
     recordings
    0.76
    clip
    0.74
    Activations Density 0.007%

    No Known Activations