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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. 3770
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    INDEX
    Explanations

    references to or elements of a story

    oai_token-act-pair · gpt-3.5-turbo

    references to storytelling

    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
    ignt
    -0.92
    inking
    -0.86
    ierrez
    -0.85
    orneys
    -0.84
    ategory
    -0.83
    htaking
    -0.80
    inence
    -0.80
    ervatives
    -0.78
    achev
    -0.78
    anyon
    -0.77
    POSITIVE LOGITS
    telling
    1.07
     arc
    1.03
     arcs
    0.99
    Narr
    0.93
    story
    0.87
     Reincarn
    0.87
     revolving
    0.86
     Story
    0.85
     tale
    0.85
    tell
    0.84
    Activations Density 0.043%

    No Known Activations