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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. 10-RES-JB
    11. 13750
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    INDEX
    Explanations

    phrases related to numerical data and quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to personal or group experiences and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    binding
    -0.73
     whispering
    -0.71
     Kenobi
    -0.70
     objectionable
    -0.69
    tones
    -0.67
     voicing
    -0.67
     subversive
    -0.67
     Cannes
    -0.67
     BDS
    -0.65
     Aly
    -0.65
    POSITIVE LOGITS
     averaged
    1.47
     estimate
    1.23
     subtract
    1.19
     calculate
    1.15
     averages
    1.13
     tripled
    1.13
     racked
    1.10
     deducted
    1.07
     accounted
    1.07
     totaled
    1.07
    Activations Density 0.370%

    No Known Activations