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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. 8-RES-JB
    11. 14890
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    INDEX
    Explanations

    phrases related to physical movement and action

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating confusion or disorder

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sabha
    -0.76
    perty
    -0.74
    adelphia
    -0.73
    TAG
    -0.71
     Territory
    -0.70
    agall
    -0.68
     Coliseum
    -0.67
    abad
    -0.66
    doms
    -0.65
    incarn
    -0.64
    POSITIVE LOGITS
    Shift
    0.70
    cellence
    0.68
    Demand
    0.59
    Testing
    0.58
     Hick
    0.58
    onics
    0.57
    vity
    0.57
    obl
    0.57
    arth
    0.57
    tics
    0.56
    Activations Density 0.292%

    No Known Activations