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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. 8-RES-JB
    11. 20136
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    Explanations

    phrases related to financial transactions and contributions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantifying or measuring contributions and proportions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cour
    -0.64
     livest
    -0.63
     Lomb
    -0.62
    ilings
    -0.62
     learning
    -0.61
    ILE
    -0.60
     encountering
    -0.58
    NetMessage
    -0.57
     behaving
    -0.56
     discovering
    -0.55
    POSITIVE LOGITS
    arily
    1.02
    ancy
    0.98
    enance
    0.96
    ants
    0.92
    istically
    0.86
    itionally
    0.85
    inally
    0.83
    aceous
    0.82
    antly
    0.81
    ominated
    0.81
    Activations Density 0.037%

    No Known Activations