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

    words related to the fictional city "Metropolis."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Met" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.81
    é»Ĵ
    -0.73
    ãģį
    -0.72
    jri
    -0.65
     Parables
    -0.65
    acters
    -0.64
     Republic
    -0.64
     Borderlands
    -0.64
     nomine
    -0.63
     polarization
    -0.63
    POSITIVE LOGITS
    adata
    1.22
    ropolis
    1.15
    amorph
    1.11
    ropolitan
    1.03
    abol
    0.99
    rics
    0.98
    aph
    0.94
    imet
    0.92
    APH
    0.91
    rod
    0.91
    Activations Density 0.007%

    No Known Activations