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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. 7-RES-JB
    11. 21706
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    Explanations

    words related to expressing oneself honestly and directly

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "speak" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aredevil
    -0.75
    pping
    -0.69
    \/\/
    -0.68
    gradation
    -0.65
    ======
    -0.64
    rawler
    -0.64
    mental
    -0.62
    xtap
    -0.62
     Ryder
    -0.61
    xon
    -0.60
    POSITIVE LOGITS
     aloud
    1.02
     volumes
    0.94
     louder
    0.90
    voice
    0.86
     loudly
    0.85
     fluent
    0.83
     spoken
    0.78
     voices
    0.74
     frankly
    0.74
    hips
    0.73
    Activations Density 0.050%

    No Known Activations