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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
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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 @ 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
     corrid
    -0.67
     referen
    -0.60
    âĸ¬
    -0.58
     conclud
    -0.55
    Orderable
    -0.55
     CLSID
    -0.51
     subscript
    -0.50
     pooled
    -0.49
     comprom
    -0.49
     challeng
    -0.49
    POSITIVE LOGITS
    ensis
    0.67
    aii
    0.64
    aten
    0.58
    ®
    0.58
    isse
    0.54
    insk
    0.54
    âĦ¢
    0.54
    hens
    0.53
    etsk
    0.53
    acht
    0.52
    Activations Density 0.967%

    No Known Activations