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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. 0-RES-JB
    11. 4992
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    Explanations

    technical terms related to data transmission and communication

    oai_token-act-pair · gpt-3.5-turbo

    terms related to transmission and overruns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Vall
    -0.77
     Semin
    -0.74
     Tart
    -0.70
     Barber
    -0.69
     Neck
    -0.69
     Bars
    -0.65
     commencement
    -0.65
     Guan
    -0.65
     Mand
    -0.65
     Chero
    -0.64
    POSITIVE LOGITS
    rans
    2.36
    abilities
    1.76
    abil
    1.69
     overrun
    1.60
    rax
    1.45
    reys
    1.27
     [+
    1.20
    IRO
    1.17
    aretz
    1.16
    isexual
    1.14
    Activations Density 0.038%

    No Known Activations