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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

    mentions of public transportation systems or stations, particularly the "MRT" station

    oai_token-act-pair · gpt-3.5-turbo

    mentions of public transportation systems

    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
    tained
    -0.67
    neum
    -0.65
     coron
    -0.61
     Krug
    -0.61
    ãĤ©
    -0.61
     hail
    -0.61
    urate
    -0.60
    vasive
    -0.60
    erved
    -0.59
    hots
    -0.58
    POSITIVE LOGITS
    RT
    1.18
    Ãī
    0.88
    ional
    0.86
    TY
    0.85
    pees
    0.81
    olkien
    0.76
    TF
    0.76
     RT
    0.75
    entimes
    0.74
    aturdays
    0.73
    Activations Density 0.006%

    No Known Activations