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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
    11. 14450
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    Explanations

    phrases related to meetings or encounters between people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of meetings and discussions involving different leaders and officials

    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
     inequ
    -0.74
     mortg
    -0.73
    duc
    -0.64
    MJ
    -0.63
     righteousness
    -0.63
     racer
    -0.62
     awesome
    -0.62
    ©¶æ¥µ
    -0.61
    insured
    -0.61
    Torrent
    -0.60
    POSITIVE LOGITS
     briefings
    0.96
     aides
    0.89
     Tanz
    0.89
    ebus
    0.87
     consultations
    0.84
     meetings
    0.84
     briefed
    0.83
     invitations
    0.82
     engagements
    0.81
     abroad
    0.80
    Activations Density 0.118%

    No Known Activations