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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. 9-RES-JB
    11. 7113
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    Explanations

    words related to properties or items used as tools, symbols, or stimulants in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to props and their use in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Antar
    -0.67
     Carbuncle
    -0.66
     Heights
    -0.62
    baugh
    -0.62
     EntityItem
    -0.59
    views
    -0.57
     terms
    -0.57
     Ripple
    -0.56
     Maw
    -0.56
    berry
    -0.56
    POSITIVE LOGITS
    ulsive
    1.27
    itious
    1.07
    etry
    0.96
    ylene
    0.96
    ounded
    0.94
    els
    0.92
    ounding
    0.90
    uls
    0.90
    ical
    0.87
     tremend
    0.87
    Activations Density 0.068%

    No Known Activations