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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. 6-RES-JB
    11. 20236
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    Explanations

    phrases related to challenges, conflicts, or restrictions

    oai_token-act-pair · gpt-3.5-turbo

    phrases or contexts involving negative or problematic situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opher
    -0.63
     preference
    -0.63
    oshop
    -0.63
     arena
    -0.61
     newcomer
    -0.60
    heet
    -0.60
    umbers
    -0.59
    iggle
    -0.59
    ously
    -0.58
     laundry
    -0.58
    POSITIVE LOGITS
    _-
    1.67
    webkit
    1.01
    âĢ¢âĢ¢
    0.86
    =-=-=-=-=-=-=-=-
    0.84
    =-=-=-=-
    0.81
    something
    0.80
    taboola
    0.78
    /-
    0.78
    named
    0.75
    perhaps
    0.75
    Activations Density 0.067%

    No Known Activations