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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
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    Explanations

    locations, specifically in the state of Tennessee

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of Tennessee

    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
    PRES
    -0.69
    ========
    -0.69
    boarding
    -0.68
    ORGE
    -0.67
    board
    -0.66
     Lama
    -0.66
    boards
    -0.65
     raft
    -0.63
     powder
    -0.63
     MLG
    -0.63
    POSITIVE LOGITS
    essee
    1.26
    yson
    1.25
     Tenn
    1.22
    esse
    1.20
    burgh
    0.89
    orable
    0.88
    Tenn
    0.85
    orm
    0.85
    rys
    0.84
    atile
    0.83
    Activations Density 0.004%

    No Known Activations