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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. 3-RES-JB
    11. 20890
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    INDEX
    Explanations

    words related to medical and physical health issues

    oai_token-act-pair · gpt-3.5-turbo

    the presence of non-standard characters or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.75
     contrace
    -0.71
     parallels
    -0.67
     aspir
    -0.67
    idges
    -0.67
     mathemat
    -0.67
     fantasy
    -0.66
    ITNESS
    -0.66
    versely
    -0.65
     appointments
    -0.65
    POSITIVE LOGITS
    ÏĦ
    1.16
    κ
    1.14
    ĥ
    1.12
    ÙĨ
    1.11
    Ùħ
    1.07
    ο
    1.03
    ε
    1.00
    ι
    0.98
    Ù
    0.96
    ħ
    0.96
    Activations Density 0.007%

    No Known Activations