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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. 1538
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    Explanations

    action words related to understanding, testing, investigating, and clarifying

    oai_token-act-pair · gpt-3.5-turbo

    actions related to discussing, examining, and improving processes or items

    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
    Not in Any Lists

    No Comments

    Negative Logits
    pired
    -0.68
    onna
    -0.66
    quartered
    -0.65
    iami
    -0.60
    ritical
    -0.60
    capacity
    -0.57
    ELS
    -0.55
    rugged
    -0.54
    cientious
    -0.53
    acist
    -0.53
    POSITIVE LOGITS
     them
    1.07
     :)
    1.04
     accordingly
    1.03
     everything
    1.01
     it
    1.00
     whats
    1.00
     yourselves
    1.00
     anyways
    0.99
     ;)
    0.98
     yourself
    0.97
    Activations Density 0.434%

    No Known Activations