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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15065
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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 @ 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
    ECA
    -0.68
     Been
    -0.67
    actionDate
    -0.67
    ornia
    -0.65
     Posted
    -0.65
     Mean
    -0.64
     Earlier
    -0.64
    ilipp
    -0.63
    cellence
    -0.62
    ?????-
    -0.62
    POSITIVE LOGITS
     loses
    1.54
     receives
    1.52
     retains
    1.51
     stays
    1.48
     behaves
    1.48
     absorbs
    1.45
     reacts
    1.40
     responds
    1.38
     learns
    1.38
     gets
    1.38
    Activations Density 0.395%

    No Known Activations