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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. 9-RES-JB
    11. 16634
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    Explanations

    mentions of negative emotions or situations

    oai_token-act-pair · gpt-3.5-turbo

    the end of sections or breaks in the text

    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
    ãĤ´ãĥ³
    -0.65
    etheless
    -0.65
    mentioned
    -0.61
    surprisingly
    -0.59
    ometimes
    -0.58
     respectively
    -0.56
    ttp
    -0.55
    ļéĨĴ
    -0.53
     <-
    -0.53
    æ©
    -0.53
    POSITIVE LOGITS
    ,'"
    1.31
    "—
    1.19
    ,"
    1.17
    %"
    1.16
    .")
    1.15
    ',"
    1.14
    '"
    1.11
     âĢ¦"
    1.07
    ")
    1.06
    "]
    1.06
    Activations Density 0.752%

    No Known Activations