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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. 22918
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    plural nouns and related suffixes

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    araoh
    -0.76
    ASED
    -0.69
    verages
    -0.66
    ously
    -0.63
    ILE
    -0.62
    Äĩ
    -0.62
    TI
    -0.60
    ATES
    -0.59
     ris
    -0.58
     submission
    -0.58
    POSITIVE LOGITS
    hire
    1.32
    bury
    1.24
    dale
    1.14
    mith
    1.11
    ystem
    1.05
    ilver
    1.03
    pring
    1.03
    boro
    1.02
    poon
    0.99
    olver
    0.97
    Activations Density 0.126%

    No Known Activations