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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. 1052
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    Explanations

    financial forecasting and data-related terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Fore" and variations of it

    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
    naires
    -0.71
     reneg
    -0.70
    iating
    -0.66
    naire
    -0.64
     bitters
    -0.63
    è¦ļéĨĴ
    -0.62
    å°Ĩ
    -0.62
     squid
    -0.61
    ULT
    -0.60
     Chev
    -0.59
    POSITIVE LOGITS
    nsics
    1.58
    nsic
    1.37
    sts
    1.30
    closure
    1.26
    gone
    1.21
    shadow
    1.21
    runner
    1.20
    closed
    1.19
    sight
    1.19
    warning
    1.16
    Activations Density 0.016%

    No Known Activations