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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. 1-RES-JB
    11. 7033
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to people named Michel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Akron
    -0.72
    pta
    -0.70
    ordinate
    -0.70
    ULTS
    -0.68
    RFC
    -0.66
    Recommend
    -0.66
     Anchorage
    -0.65
    UU
    -0.65
    VALUE
    -0.65
     Alaska
    -0.63
    POSITIVE LOGITS
    angelo
    1.68
     Michel
    1.26
    otti
    0.97
    htaking
    0.91
    ucci
    0.89
    sonian
    0.88
    hovah
    0.88
     Fou
    0.83
    hetti
    0.82
     destro
    0.82
    Activations Density 0.006%

    No Known Activations