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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. 10-RES-JB
    11. 5687
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    Explanations

    the acronym "ST" followed by a single alphanumeric character

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the abbreviation "ST"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.82
    flies
    -0.74
    EStream
    -0.73
    glers
    -0.68
    hower
    -0.66
    hound
    -0.66
    dylib
    -0.65
    manship
    -0.64
    hire
    -0.64
    ger
    -0.64
    POSITIVE LOGITS
    REAM
    1.32
    UFF
    1.28
    DERR
    1.17
    OCK
    1.15
    FU
    1.11
    ALK
    1.08
    AGE
    1.07
    AY
    1.06
    ACK
    1.01
    ART
    1.00
    Activations Density 0.014%

    No Known Activations