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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. 19938
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    Explanations

    words related to official instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    references to official orders or regulations

    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
     Alto
    -0.80
    ock
    -0.77
     Blacks
    -0.76
     Sack
    -0.73
    OWS
    -0.70
    ocks
    -0.69
    Rub
    -0.68
    van
    -0.67
    Gordon
    -0.66
     Alc
    -0.65
    POSITIVE LOGITS
     directives
    1.13
     directive
    1.06
     decree
    0.92
     directs
    0.87
     Directive
    0.83
     directing
    0.81
     ordering
    0.80
     confir
    0.77
     guiActiveUn
    0.77
     workflow
    0.75
    Activations Density 0.008%

    No Known Activations