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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. 4-RES-JB
    11. 9327
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    Explanations

    action verbs related to communications and interactions

    oai_token-act-pair · gpt-3.5-turbo

    reporting verbs related to observation and commentary

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

    No Comments

    Negative Logits
    rone
    -0.64
    onder
    -0.61
     predetermined
    -0.61
    offic
    -0.58
    Holy
    -0.58
    ubuntu
    -0.57
    owers
    -0.57
     placeholder
    -0.57
    riv
    -0.56
    productive
    -0.56
    POSITIVE LOGITS
    hirt
    0.77
    olate
    0.70
    omething
    0.69
    ilver
    0.67
    hooting
    0.67
    iewicz
    0.67
    ometimes
    0.67
    ource
    0.64
    raf
    0.64
    ashtra
    0.64
    Activations Density 0.358%

    No Known Activations