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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 630
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    Explanations

    proper nouns related to places or names

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of content or sections in a layout, likely related to articles or stories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sie
    -0.91
    sch
    -0.82
     Gutenberg
    -0.79
    sis
    -0.76
     Scarlet
    -0.74
    poor
    -0.72
    urally
    -0.72
    YD
    -0.71
    lect
    -0.70
    EP
    -0.70
    POSITIVE LOGITS
    celona
    1.05
    becue
    1.04
    rier
    0.94
    bara
    0.88
    itone
    0.85
    aja
    0.84
    rel
    0.81
    bar
    0.81
    bidden
    0.80
    ror
    0.79
    Activations Density 0.021%

    No Known Activations