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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    the word "house."

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "house."

    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
     DPR
    -0.80
     Seg
    -0.75
     Archdemon
    -0.69
    PsyNetMessage
    -0.67
    */(
    -0.62
     distant
    -0.61
     feder
    -0.61
     CNS
    -0.59
     NCT
    -0.59
     UL
    -0.59
    POSITIVE LOGITS
    hold
    1.16
    door
    1.14
    house
    1.11
    wife
    1.04
    warming
    1.01
    loo
    1.01
    wives
    1.00
    plate
    0.98
    holder
    0.95
    pipe
    0.93
    Activations Density 0.007%

    No Known Activations