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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
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    Explanations

    mentions of the word 'Messenger', possibly in the context of a communication application

    oai_token-act-pair · gpt-3.5-turbo

    references to messaging applications and their functionalities

    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
    ©¶æ
    -0.96
    DragonMagazine
    -0.91
    cember
    -0.74
    hyde
    -0.71
    ANK
    -0.69
    ASED
    -0.69
    urses
    -0.63
    eele
    -0.63
    pmwiki
    -0.62
    çīĪ
    -0.62
    POSITIVE LOGITS
    engers
    1.27
    Mess
    1.18
    enger
    1.17
     Mess
    1.11
    aging
    1.06
    mess
    1.06
    ages
    0.93
    hof
    0.90
    ipop
    0.83
    roth
    0.83
    Activations Density 0.013%

    No Known Activations