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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8098
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    Explanations

    references to lakes and their related features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to specific bodies of water, particularly lakes

    oai_token-act-pair · gpt-3.5-turbo
    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
    CLASSIFIED
    -0.88
    ENTS
    -0.76
    ulate
    -0.73
    nesday
    -0.71
    imental
    -0.69
    ENT
    -0.69
    IRED
    -0.67
     tremend
    -0.67
    ifiable
    -0.65
    psons
    -0.65
    POSITIVE LOGITS
     Erie
    0.93
     ponds
    0.93
     lakes
    0.92
     lake
    0.91
     basin
    0.89
    front
    0.88
    weed
    0.85
    tub
    0.85
     reservoir
    0.85
    ids
    0.81
    Activations Density 0.016%

    No Known Activations