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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. 5192
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    Explanations

    words related to consumerism and consumer protection

    oai_token-act-pair · gpt-3.5-turbo

    words relating to consumer topics and issues

    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
    night
    -0.72
    apo
    -0.71
    staff
    -0.71
    veyard
    -0.71
     sleeper
    -0.71
    upon
    -0.69
    eton
    -0.66
    edin
    -0.65
    unda
    -0.65
    sets
    -0.64
    POSITIVE LOGITS
     goods
    1.04
     electronics
    1.02
    umers
    1.01
     Staples
    0.97
     Electronics
    0.96
     dur
    0.89
    ism
    0.84
     Goods
    0.81
    ist
    0.81
    ists
    0.79
    Activations Density 0.047%

    No Known Activations