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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. 854
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    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words related to acquisition and competition

    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
     dracon
    -0.63
    jriwal
    -0.54
     situational
    -0.52
     subp
    -0.51
     cerebral
    -0.49
     polar
    -0.48
     similar
    -0.47
     pity
    -0.46
     parity
    -0.46
     humble
    -0.46
    POSITIVE LOGITS
    ius
    0.72
    illo
    0.67
    ich
    0.66
    cia
    0.66
    ansky
    0.65
    ia
    0.65
    idge
    0.64
    ault
    0.64
    nik
    0.63
    yna
    0.63
    Activations Density 0.592%

    No Known Activations