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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. 2-RES-JB
    11. 20834
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    Explanations

    abbreviations often related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "SAN" in relation to places and geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ives
    -0.79
    unct
    -0.70
    onom
    -0.67
    dash
    -0.65
     crank
    -0.64
     dysph
    -0.64
     tense
    -0.61
     Jav
    -0.60
    urned
    -0.60
     minors
    -0.60
    POSITIVE LOGITS
    SAN
    1.35
     SAN
    1.09
    ctuary
    1.05
    DAQ
    0.98
    ITY
    0.97
    MAR
    0.94
    ISH
    0.89
    BIL
    0.88
     ANGEL
    0.86
    AMI
    0.85
    Activations Density 0.007%

    No Known Activations