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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. 9-RES-JB
    11. 24210
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    Explanations

    references to news articles about a specific topic or place named "CH"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific organization or entity associated with the initials "CH"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    gency
    -0.70
    ãĥĥãĥī
    -0.70
    ged
    -0.66
    gaard
    -0.66
     diminishing
    -0.63
     contracted
    -0.62
    glass
    -0.61
     belts
    -0.60
     belt
    -0.59
    glas
    -0.58
    POSITIVE LOGITS
    ECK
    1.16
    APTER
    1.14
    AIR
    1.09
    ANGE
    1.05
    IPS
    1.02
    apeake
    1.02
    OOL
    1.01
    aper
    1.00
    ILD
    0.98
    owder
    0.97
    Activations Density 0.018%

    No Known Activations