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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. 13830
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    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    pronouns indicating collective responsibility or action

    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
    interstitial
    -0.87
    MpServer
    -0.82
    catentry
    -0.71
    Sharp
    -0.67
    Magikarp
    -0.63
    NetMessage
    -0.62
     Suite
    -0.62
    Ô
    -0.62
    Reviewer
    -0.60
    pedia
    -0.58
    POSITIVE LOGITS
     hadn
    1.18
     weren
    1.11
     ever
    1.11
     were
    0.95
     wished
    0.94
     wanted
    0.94
     succeeds
    0.93
     succeed
    0.92
     fails
    0.92
     cared
    0.91
    Activations Density 0.149%

    No Known Activations