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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. 7-RES-JB
    11. 3657
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    INDEX
    Explanations

    descriptive words ending in 'pe'

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific types of people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.84
    etheless
    -0.72
     simultane
    -0.64
    izoph
    -0.61
    ainers
    -0.60
    perse
    -0.60
     GOODMAN
    -0.58
     microscope
    -0.58
     SetTextColor
    -0.57
    selves
    -0.57
    POSITIVE LOGITS
    anut
    1.09
    cific
    1.03
    eps
    0.98
    rer
    0.97
    oples
    0.93
    ller
    0.93
    asant
    0.91
    ggie
    0.88
    ck
    0.86
    cial
    0.86
    Activations Density 0.015%

    No Known Activations