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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. 23750
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    Explanations

    random sequences of numbers and characters

    oai_token-act-pair · gpt-3.5-turbo

    structured numerical data and formatting indicators

    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
     increasingly
    -0.82
     ÂŃ
    -0.77
     stressed
    -0.73
     appealing
    -0.72
     stubborn
    -0.71
     becoming
    -0.71
     particularly
    -0.71
     potentially
    -0.71
     expanding
    -0.71
     caring
    -0.71
    POSITIVE LOGITS
    10000
    1.23
    000000
    1.21
    00000000
    1.19
    3333
    1.15
    0000000000000000
    1.13
    9999
    1.11
    6666
    1.11
    0000
    1.11
    00000
    1.11
    2500
    1.10
    Activations Density 0.277%

    No Known Activations