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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. 3-RES-JB
    11. 13431
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    Explanations

    contractions of pronouns and auxiliary verbs

    oai_token-act-pair · gpt-3.5-turbo

    the word "did" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.80
    EStream
    -0.75
     Pastebin
    -0.72
     mosqu
    -0.70
    éĹĺ
    -0.69
     Remem
    -0.69
     crim
    -0.65
     suscept
    -0.65
     RIS
    -0.65
     momentum
    -0.65
    POSITIVE LOGITS
    rown
    1.12
    ividual
    1.10
    iamond
    1.09
    orm
    1.09
    ynamic
    1.07
    agger
    1.06
    aniel
    1.03
    orf
    1.02
    etermined
    1.00
    ivers
    0.99
    Activations Density 0.030%

    No Known Activations