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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. 2-RES-JB
    11. 3862
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    Explanations

    words related to coding and technical parameters like "Name" and "password"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of identifiers or names within a programming or data context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romy
    -0.89
    yrinth
    -0.83
    awaru
    -0.79
    psey
    -0.71
    ilib
    -0.70
    tumblr
    -0.70
    yrus
    -0.68
    icult
    -0.67
     balcon
    -0.66
     Bulletin
    -0.65
    POSITIVE LOGITS
    plates
    1.09
    name
    1.06
    names
    1.02
    Name
    0.94
    plate
    0.94
    ames
    0.88
    NAME
    0.88
     names
    0.87
    paces
    0.86
     NAME
    0.86
    Activations Density 0.025%

    No Known Activations