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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. 24263
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    INDEX
    Explanations

    phrases expressing desire or necessity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    eor
    -0.85
    uum
    -0.69
    quin
    -0.69
    vant
    -0.67
    itures
    -0.65
    vantage
    -0.65
    cedented
    -0.64
    tec
    -0.64
    ventures
    -0.63
    vae
    -0.60
    POSITIVE LOGITS
    olation
    0.67
     consistency
    0.67
     repentance
    0.64
     silence
    0.64
     occasional
    0.64
     Perspective
    0.63
    DN
    0.63
     certainty
    0.63
     repetition
    0.62
    inka
    0.62
    Activations Density 0.082%

    No Known Activations