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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. 539
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    Explanations

    words related to tapping or physical hitting

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific type of edible product or ingredient related to tapioca

    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
     Valkyrie
    -0.71
     Monstrous
    -0.70
    xual
    -0.67
     AMERICA
    -0.67
    Downloadha
    -0.66
    ============
    -0.65
     CVE
    -0.64
    anchester
    -0.61
    士
    -0.59
     Camel
    -0.59
    POSITIVE LOGITS
    acity
    1.00
    eless
    0.86
    istry
    0.85
    leness
    0.85
    ering
    0.85
    rop
    0.84
    roots
    0.84
    rist
    0.82
    eful
    0.81
    deck
    0.80
    Activations Density 0.031%

    No Known Activations