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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. 8-RES-JB
    11. 2407
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    Explanations

    verbs in the past tense

    oai_token-act-pair · gpt-3.5-turbo

    references to actions related to performance or achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Miko
    -0.76
     Koch
    -0.66
     Ducks
    -0.65
     Kot
    -0.64
     Pacific
    -0.64
     Nanto
    -0.60
     Stars
    -0.60
     karma
    -0.59
     Warm
    -0.59
     PAC
    -0.58
    POSITIVE LOGITS
    ©¶æ¥µ
    0.80
    *.
    0.73
    icz
    0.71
     ().
    0.70
    NetMessage
    0.69
     accustomed
    0.68
    tical
    0.68
     theirs
    0.66
     attest
    0.64
    entimes
    0.64
    Activations Density 0.212%

    No Known Activations