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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. 8-RES-JB
    11. 12914
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    Explanations

    phrases related to physical locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    references to spatial or physical locations and movements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ibaba
    -1.03
    endas
    -0.71
     Pengu
    -0.65
    abi
    -0.64
     Parenthood
    -0.63
    ovsky
    -0.61
     Revis
    -0.59
     separat
    -0.58
     targ
    -0.58
    etsk
    -0.58
    POSITIVE LOGITS
     virtue
    0.87
     margin
    0.80
     margins
    0.78
     means
    0.78
    umbers
    0.75
    antine
    0.74
     decree
    0.74
     standards
    0.72
    committee
    0.70
     reckoning
    0.69
    Activations Density 0.323%

    No Known Activations