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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. 19710
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    Explanations

    phrases related to specific names or entities

    oai_token-act-pair · gpt-3.5-turbo

    specific patterns or combinations of letters and sounds

    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
    mares
    -0.67
    izabeth
    -0.66
    idays
    -0.62
    theless
    -0.61
    cffff
    -0.60
    ITNESS
    -0.60
    ente
    -0.59
     skelet
    -0.59
    olescent
    -0.57
    nih
    -0.57
    POSITIVE LOGITS
    pta
    1.10
    letal
    0.85
    ificant
    0.82
    nikov
    0.80
    atchewan
    0.78
    orf
    0.73
    pport
    0.72
    士
    0.69
    WARE
    0.68
    mbol
    0.65
    Activations Density 0.415%

    No Known Activations