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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. 7-RES-JB
    11. 17274
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.90
    sburgh
    -0.78
    è¦ļéĨĴ
    -0.67
    BILITY
    -0.66
    ä½ľ
    -0.64
     butterfly
    -0.64
    BILITIES
    -0.63
    ENCE
    -0.62
    ments
    -0.62
    ITED
    -0.61
    POSITIVE LOGITS
    igans
    1.08
    ghai
    1.08
    amar
    1.06
    kees
    1.04
    amo
    1.00
    seys
    0.99
    agos
    0.98
    atta
    0.96
    amia
    0.95
    allo
    0.93
    Activations Density 0.033%

    No Known Activations