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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. 10-RES-JB
    11. 12594
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    Explanations

    words related to the name "Brand" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Brand" and related references throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     attendant
    -0.78
     compensated
    -0.63
     Tsu
    -0.60
    ancial
    -0.60
     STAT
    -0.59
    DAY
    -0.58
    pmwiki
    -0.58
     circadian
    -0.58
     derailed
    -0.58
     Fukushima
    -0.58
    POSITIVE LOGITS
    enburg
    1.40
    olph
    1.05
    olini
    1.03
    enstein
    1.02
    enberg
    0.95
    t
    0.89
    olf
    0.88
    stown
    0.87
    reth
    0.86
    oris
    0.86
    Activations Density 0.045%

    No Known Activations