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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. 10-RES-JB
    11. 23394
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    Explanations

    phrases related to legal and political actions or events

    oai_token-act-pair · gpt-3.5-turbo

    assertions related to opinions and statements of disagreement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.75
    surprisingly
    -0.69
    etheless
    -0.60
    mentioned
    -0.60
    ļéĨĴ
    -0.58
    xtap
    -0.57
     "_
    -0.55
    ¿½
    -0.54
    described
    -0.53
     "#
    -0.53
    POSITIVE LOGITS
    ,'"
    1.46
    ',"
    1.37
    .")
    1.33
     âĢ¦"
    1.32
    ,"
    1.31
    "—
    1.31
     ..."
    1.26
    ),"
    1.23
    %"
    1.20
    '"
    1.19
    Activations Density 0.960%

    No Known Activations