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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. 8-RES-JB
    11. 12990
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    Explanations

    references to a specific location called "Port" with varying specifics

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or entities named "Port."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    IGHTS
    -0.85
    STEM
    -0.77
    pta
    -0.74
    OWS
    -0.73
    soever
    -0.72
    IAS
    -0.72
     toget
    -0.69
    KER
    -0.69
    terday
    -0.68
    IGH
    -0.65
    POSITIVE LOGITS
    rait
    1.53
    folio
    1.52
    folios
    1.50
    raits
    1.49
    ugal
    1.10
    eur
    1.04
    ray
    0.94
    ions
    0.91
     Canaveral
    0.90
    rehens
    0.85
    Activations Density 0.016%

    No Known Activations