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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. 7-RES-JB
    11. 11193
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    Explanations

    proper nouns preceded by a pronoun like 'whom'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "whom."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roads
    -0.70
     divide
    -0.61
    ricks
    -0.61
    landers
    -0.60
    adder
    -0.59
    ply
    -0.59
     Rhythm
    -0.58
     Economy
    -0.57
    forcing
    -0.57
     Balkans
    -0.57
    POSITIVE LOGITS
    soever
    2.00
    nown
    0.80
    edIn
    0.77
    chwitz
    0.76
    terness
    0.74
     Allaah
    0.74
     eminent
    0.73
    lies
    0.72
    upon
    0.70
    fore
    0.70
    Activations Density 0.025%

    No Known Activations