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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. 11265
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    Explanations

    phrases related to financial transactions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conditions and opportunities for participation or success

    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
    etsk
    -0.76
    monton
    -0.63
    berra
    -0.63
    dyl
    -0.61
    auga
    -0.60
     grooming
    -0.60
    inding
    -0.59
    uster
    -0.58
    olulu
    -0.58
     comb
    -0.57
    POSITIVE LOGITS
     WITH
    1.64
     THERE
    1.63
     THEIR
    1.62
     ABOUT
    1.57
     THESE
    1.57
     THIS
    1.56
     THE
    1.56
     THEY
    1.55
     THAT
    1.53
     SOME
    1.51
    Activations Density 0.338%

    No Known Activations