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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. 11-RES-JB
    11. 23901
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    Explanations

    descriptions related to detailed views or perspectives

    oai_token-act-pair · gpt-3.5-turbo

    references to close-up views and shots in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nadu
    -0.66
    Bal
    -0.59
    BP
    -0.59
    Else
    -0.58
    Balance
    -0.58
     predictable
    -0.58
    Care
    -0.57
    Calif
    -0.57
    ŃĶ
    -0.57
    Ļ½
    -0.56
    POSITIVE LOGITS
     of
    1.26
     illustrating
    1.15
     showing
    1.13
     depicting
    1.10
     showcasing
    1.08
    of
    1.07
     demonstrating
    1.02
     documenting
    1.00
     thereof
    0.99
     detailing
    0.96
    Activations Density 0.303%

    No Known Activations