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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. 6-RES-JB
    6. 21531
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    Explanations

    the word "Fu" at various activation levels, possibly associated with names or locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Fu," often associated with specific individuals or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.85
    apy
    -0.77
    sburgh
    -0.76
    theless
    -0.73
     Orbit
    -0.71
    lihood
    -0.71
     Turing
    -0.69
     Remastered
    -0.68
     Emin
    -0.68
    ãģĨ
    -0.68
    POSITIVE LOGITS
    selage
    1.62
    lda
    1.19
    jin
    1.07
    ged
    0.93
    cci
    0.89
    ueless
    0.89
    ugi
    0.89
    qua
    0.85
    emen
    0.85
    ÃŁ
    0.85
    Activations Density 0.035%

    No Known Activations