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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. 22694
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    Explanations

    mentions of significant scale or prominence

    oai_token-act-pair · gpt-3.5-turbo

    the term "big" used in various contexts, often referring to significant or important entities or events

    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
    Cola
    -0.89
    amera
    -0.85
    dain
    -0.72
    terday
    -0.66
    SHIP
    -0.65
    nown
    -0.65
    arcity
    -0.65
    mia
    -0.64
    iosis
    -0.64
    shall
    -0.63
    POSITIVE LOGITS
    liest
    1.11
    iest
    1.03
    est
    1.01
    most
    1.00
    hest
    1.00
     brunt
    0.90
     ones
    0.89
     elements
    0.86
     portion
    0.85
     necessities
    0.85
    Activations Density 0.338%

    No Known Activations