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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. 6-RES-JB
    11. 320
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cere
    -0.67
    eus
    -0.61
    Jose
    -0.61
    colo
    -0.61
    mpeg
    -0.59
     Flo
    -0.58
     emphasis
    -0.58
    minus
    -0.58
    rust
    -0.58
    depend
    -0.57
    POSITIVE LOGITS
    maxwell
    0.78
    yssey
    0.75
    sonian
    0.74
    opian
    0.73
    herer
    0.73
     frantically
    0.72
    emouth
    0.70
    pless
    0.69
    olin
    0.68
    regor
    0.68
    Activations Density 0.559%

    No Known Activations