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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. 9-RES-JB
    11. 3096
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    Explanations

    names consisting of multiple parts or hyphenated names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.72
     TRA
    -0.69
     COM
    -0.68
     hemor
    -0.66
     Inter
    -0.66
     prost
    -0.66
     CLS
    -0.65
     Impro
    -0.65
     operating
    -0.65
     tremend
    -0.65
    POSITIVE LOGITS
    chuk
    1.05
    ason
    1.00
    henko
    1.00
    mson
    0.98
    wald
    0.98
    alez
    0.97
    aga
    0.97
    orst
    0.97
    zman
    0.97
    atra
    0.96
    Activations Density 0.155%

    No Known Activations