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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. 4765
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    Explanations

    personal opinions and intentions expressed in a determined manner

    oai_token-act-pair · gpt-3.5-turbo

    pronouns indicating agency or responsibility

    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
    rawdownloadcloneembedreportprint
    -0.69
     Gri
    -0.67
     Tooth
    -0.65
     Penny
    -0.64
    OTOS
    -0.60
     Nepal
    -0.59
     Bever
    -0.58
    Poké
    -0.58
     Perkins
    -0.58
     Moroc
    -0.58
    POSITIVE LOGITS
    'll
    1.39
    'd
    1.15
     might
    1.12
     would
    1.11
     wouldn
    1.10
    might
    1.09
     will
    1.06
     shouldn
    1.05
     ought
    1.05
     could
    1.05
    Activations Density 0.243%

    No Known Activations