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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. 4-RES-JB
    11. 19748
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    Explanations

    words related to taste and food preferences

    oai_token-act-pair · gpt-3.5-turbo

    the word "pal" with varying frequency

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

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.73
     Annotations
    -0.73
     Consent
    -0.72
    CDC
    -0.72
    ECH
    -0.70
    REE
    -0.70
    BOX
    -0.66
    VOL
    -0.65
     Mavericks
    -0.64
    DX
    -0.64
    POSITIVE LOGITS
    atable
    1.24
    atial
    1.12
    adin
    1.07
    estine
    1.04
    mares
    0.96
     pal
    0.90
    athe
    0.89
    mop
    0.88
    adier
    0.83
    ettes
    0.82
    Activations Density 0.008%

    No Known Activations