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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. 6-RES-JB
    6. 2323
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    INDEX
    Explanations

    phrases related to investigation and review processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating investigative or analytical actions

    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
    å§
    -0.82
    çͰ
    -0.76
    ç·
    -0.70
    天
    -0.68
    bucks
    -0.66
    uala
    -0.66
    åħī
    -0.66
    itol
    -0.65
    Sad
    -0.64
    EVA
    -0.64
    POSITIVE LOGITS
     pse
    0.82
     forensic
    0.80
     eval
    0.78
    aminer
    0.77
     psychiatrists
    0.76
     interviewing
    0.76
    enhagen
    0.76
     analys
    0.73
     assessing
    0.72
     dossier
    0.71
    Activations Density 0.388%

    No Known Activations