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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. 6-RES-JB
    11. 682
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    Explanations

    phrases related to causality and contributing factors

    oai_token-act-pair · gpt-3.5-turbo

    references to causal factors or contributors to various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISION
    -0.74
    erity
    -0.72
    Cam
    -0.71
    rams
    -0.69
    heid
    -0.67
    lance
    -0.67
    OWS
    -0.67
    Fif
    -0.66
    sonian
    -0.66
    IFE
    -0.65
    POSITIVE LOGITS
     relate
    0.80
     characterize
    0.77
     viz
    0.77
     arise
    0.76
     involve
    0.75
     emerge
    0.72
     pertaining
    0.71
     including
    0.71
     onlook
    0.71
     attackers
    0.70
    Activations Density 0.495%

    No Known Activations