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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 19160
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    Explanations

    phrases related to physical efforts or actions requiring mental focus and determination

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating varying degrees of emotional intensity and effort

    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
    esta
    -0.63
    prus
    -0.62
    ode
    -0.61
     Jobs
    -0.61
    sov
    -0.60
    rame
    -0.60
    eral
    -0.58
    arus
    -0.57
    icent
    -0.57
    arium
    -0.57
    POSITIVE LOGITS
     srfAttach
    0.78
    enance
    0.74
     whatsoever
    0.74
     abandon
    0.70
     thereafter
    0.67
     intervals
    0.66
    beam
    0.66
    _.
    0.66
     ILCS
    0.65
    FontSize
    0.65
    Activations Density 0.304%

    No Known Activations