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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. 4-RES-JB
    11. 6072
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sacrific
    -0.81
    Attributes
    -0.69
     guid
    -0.68
     nurs
    -0.68
     carriers
    -0.67
     millenn
    -0.67
     peripher
    -0.66
     suppress
    -0.65
     heterogeneity
    -0.65
     destro
    -0.65
    POSITIVE LOGITS
    #$
    0.95
    yet
    0.84
    /-
    0.82
    odd
    0.81
    there
    0.81
    0.81
    âĢİ
    0.80
    why
    0.78
    ABC
    0.78
    ����
    0.78
    Activations Density 0.185%

    No Known Activations