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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. 6-RES-JB
    11. 14904
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    Explanations

    references to physical locations like streets, roads, floors, and markets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of physical locations and streets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rosso
    -0.71
    laus
    -0.70
    auts
    -0.68
    ritch
    -0.67
    RIC
    -0.66
    hig
    -0.64
    regor
    -0.64
    ortium
    -0.64
    ratulations
    -0.63
    uctor
    -0.63
    POSITIVE LOGITS
     periphery
    1.00
     doorstep
    0.92
     leash
    0.86
     pedest
    0.85
     basis
    0.84
     shelf
    0.82
     heels
    0.78
     verge
    0.77
     side
    0.76
     horizon
    0.75
    Activations Density 0.183%

    No Known Activations