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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
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    Explanations

    the term "store" or related phrases like "store shelves"

    oai_token-act-pair · gpt-3.5-turbo

    references to stores

    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
    vous
    -0.75
    ersen
    -0.75
    SHIP
    -0.69
    nir
    -0.66
    param
    -0.65
    ansson
    -0.65
    inx
    -0.63
    vernment
    -0.63
     sshd
    -0.63
    theless
    -0.62
    POSITIVE LOGITS
     shelves
    1.21
    houses
    0.99
     clerks
    0.98
     clerk
    0.98
    front
    0.96
    keeper
    0.96
    keepers
    0.94
    store
    0.92
    stores
    0.91
     storefront
    0.90
    Activations Density 0.036%

    No Known Activations