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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. 9-RES-JB
    11. 1466
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    oai_token-act-pair · gpt-3.5-turbo

    references to photovoltaic technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    holders
    -0.65
     Chall
    -0.62
    paper
    -0.59
     womb
    -0.59
    ãĥ¼ãĥĨ
    -0.58
     Maid
    -0.58
    comb
    -0.56
     contrad
    -0.56
     strugg
    -0.56
    porting
    -0.56
    POSITIVE LOGITS
    ski
    1.32
    ideo
    1.26
    irus
    1.02
    oice
    1.00
    ille
    0.99
    sk
    0.92
    ideos
    0.92
    anni
    0.91
    ork
    0.90
    olt
    0.90
    Activations Density 0.056%

    No Known Activations