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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. 22896
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    Explanations

    instances where the speaker refers to themselves

    oai_token-act-pair · gpt-3.5-turbo

    personal pronouns and expressions of opinion or sentiment

    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
     Georgian
    -0.59
    ãĥĥãĥī
    -0.59
    heres
    -0.59
     Mats
    -0.58
     Rolls
    -0.58
     Tuls
    -0.58
    cedes
    -0.57
     electromagnetic
    -0.57
     Kag
    -0.56
    heads
    -0.55
    POSITIVE LOGITS
    'm
    1.52
    've
    1.30
     am
    1.15
     suppose
    1.07
     presume
    0.97
     guess
    0.96
    ronic
    0.95
     adore
    0.94
     wish
    0.93
     Learned
    0.93
    Activations Density 0.103%

    No Known Activations