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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. 24174
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    Explanations

    phrases indicating receiving something for taking action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to obtaining rewards or benefits

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    worthiness
    -0.70
     Nation
    -0.63
    igr
    -0.61
    iffin
    -0.60
    worthy
    -0.58
    abin
    -0.57
     hind
    -0.56
    lie
    -0.55
    ini
    -0.54
    esian
    -0.54
    POSITIVE LOGITS
     rid
    1.24
     lucky
    0.93
     acquainted
    0.93
     reimb
    0.91
    DragonMagazine
    0.83
     stuck
    0.82
     rewarded
    0.82
     accustomed
    0.82
     refunds
    0.81
     sucked
    0.78
    Activations Density 0.100%

    No Known Activations