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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. 9-RES-JB
    6. 18711
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    Explanations

    the word "Fu" with various levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Fu," likely related to a name or entity

    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
    worthiness
    -0.79
     Emin
    -0.76
     Remastered
    -0.70
    theless
    -0.68
     Apostles
    -0.66
    sheets
    -0.64
    pheus
    -0.64
    */(
    -0.64
    ãģĨ
    -0.63
     Pioneer
    -0.61
    POSITIVE LOGITS
    selage
    1.63
    lda
    1.25
    jin
    1.09
    ÃŁ
    1.05
    qua
    1.02
    pport
    1.00
    ze
    0.99
    els
    0.99
    zed
    0.96
    cci
    0.95
    Activations Density 0.058%

    No Known Activations