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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. 3-RES-JB
    11. 9256
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    INDEX
    Explanations

    instances of the word "Mlambon" followed by a variety of different next words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "uka."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matically
    -0.89
    hip
    -0.77
    izoph
    -0.76
    checks
    -0.74
    sc
    -0.73
    tons
    -0.72
    mental
    -0.71
    spin
    -0.71
    mable
    -0.70
    mens
    -0.70
    POSITIVE LOGITS
    ichi
    0.85
    ÅĤ
    0.84
    estro
    0.84
    iba
    0.81
    emia
    0.81
    eno
    0.80
    Å¡
    0.79
    uka
    0.79
    ña
    0.78
    enko
    0.78
    Activations Density 0.008%

    No Known Activations