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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. 9432
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to understanding and interpretation

    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
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    No Comments

    Negative Logits
    taboola
    -0.86
    SAN
    -0.86
     fueled
    -0.84
    Based
    -0.84
     fueling
    -0.83
    Flash
    -0.81
    Target
    -0.81
    Ops
    -0.80
     targeting
    -0.79
     takeaway
    -0.78
    POSITIVE LOGITS
    ,—
    1.24
     thence
    1.24
     negro
    1.15
     splend
    1.08
     labou
    1.06
     brill
    1.00
     consec
    0.96
     nob
    0.96
     Herod
    0.96
     whence
    0.95
    Activations Density 1.248%

    No Known Activations