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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. 7-RES-JB
    11. 11099
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.62
    arcity
    -0.61
     bitterly
    -0.55
     forged
    -0.54
    chal
    -0.53
     nostalg
    -0.53
    fram
    -0.53
     fabricated
    -0.52
    lav
    -0.51
     born
    -0.51
    POSITIVE LOGITS
    enter
    0.66
    mination
    0.66
    assing
    0.65
    ubes
    0.65
    rection
    0.64
    pter
    0.64
     leash
    0.63
     toile
    0.62
    ight
    0.59
    ESE
    0.59
    Activations Density 0.171%

    No Known Activations