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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. 1-RES-JB
    11. 23248
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    Explanations

    references to figures or illustrations in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to figures in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hearing
    -0.65
    Rush
    -0.61
     school
    -0.61
    TPPStreamerBot
    -0.60
     Sussex
    -0.60
     mine
    -0.59
     Barclays
    -0.59
    side
    -0.59
     Anthem
    -0.59
     chemotherapy
    -0.58
    POSITIVE LOGITS
     Fig
    1.13
    uring
    1.06
    Fig
    1.02
    uration
    1.02
    ured
    1.01
    ures
    0.98
     fig
    0.93
    urations
    0.91
    hig
    0.90
    eteenth
    0.86
    Activations Density 0.004%

    No Known Activations