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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. 18248
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    INDEX
    Explanations

    words related to extreme or radical groups or ideas

    oai_token-act-pair · gpt-3.5-turbo

    terms related to marginalization and extreme viewpoints

    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
    ivia
    -0.68
    ynthesis
    -0.68
    oho
    -0.67
    auga
    -0.66
     Dragonbound
    -0.65
    alm
    -0.65
    odium
    -0.64
    orah
    -0.63
    itars
    -0.63
     pronounced
    -0.62
    POSITIVE LOGITS
     fringe
    1.17
    mere
    1.03
    lore
    0.90
    odox
    0.84
    tips
    0.81
     guiActiveUn
    0.79
    isode
    0.78
    posts
    0.76
    tip
    0.75
    bare
    0.72
    Activations Density 0.005%

    No Known Activations