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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. 11-RES-JB
    11. 17150
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    Explanations

    pronouns 'they' and 'he' followed by a future-tense verb

    oai_token-act-pair · gpt-3.5-turbo

    instances of subject pronouns and corresponding verbs that indicate actions or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     newcom
    -0.65
     Clever
    -0.59
    Appearances
    -0.59
     prest
    -0.58
    ãĥ¯
    -0.57
     obscurity
    -0.57
    assi
    -0.57
    Thu
    -0.57
     Brunswick
    -0.55
    Fri
    -0.55
    POSITIVE LOGITS
     intends
    1.29
     regretted
    1.27
     intend
    1.21
     wished
    1.12
     would
    1.12
     intention
    1.10
     wouldn
    1.10
     expects
    1.09
     wanted
    1.09
    'd
    1.08
    Activations Density 0.210%

    No Known Activations