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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22227
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    Explanations

    proper nouns related to locations, specifically focusing on "Clara"

    oai_token-act-pair · gpt-3.5-turbo

    names of places or people, particularly focusing on "Clara."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unct
    -0.74
    Marginal
    -0.69
    rm
    -0.68
     initiation
    -0.68
    mediated
    -0.67
    ryu
    -0.65
    ebin
    -0.65
    ulatory
    -0.65
    tumblr
    -0.64
    ramid
    -0.63
    POSITIVE LOGITS
     Clara
    1.16
     Oswald
    0.94
    iffe
    0.89
    asma
    0.83
    phia
    0.82
     valley
    0.74
     Valley
    0.73
    puter
    0.72
    Lens
    0.71
     Lumpur
    0.71
    Activations Density 0.007%

    No Known Activations